{"cells":[{"cell_type":"markdown","metadata":{"id":"ZyP3dXRfcXLa"},"source":["# Ingest PDF benefit documents into Chroma vector DB\n","- install and imports\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"X2R9TjVzNV_E","outputId":"cf55e3b8-8515-40a5-d55b-0ff89649d0de","executionInfo":{"status":"ok","timestamp":1677873495731,"user_tz":300,"elapsed":22783,"user":{"displayName":"Greg Hayworth","userId":"07798746719312628238"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Collecting sentence-transformers\n","  Downloading sentence-transformers-2.2.2.tar.gz (85 kB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m86.0/86.0 KB\u001b[0m \u001b[31m2.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25h  Preparing metadata (setup.py) ... 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sentencepiece-0.1.97 tokenizers-0.13.2 transformers-4.26.1\n"]}],"source":["!pip install -U sentence-transformers "]},{"cell_type":"code","source":["#rank_bm25"],"metadata":{"id":"s808GJXunbB0"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["!pip install langchain"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"T6_80h9LpY0Z","executionInfo":{"status":"ok","timestamp":1677873517108,"user_tz":300,"elapsed":21385,"user":{"displayName":"Greg Hayworth","userId":"07798746719312628238"}},"outputId":"ab8f5f89-8f43-4355-9f82-a0a8ea288f8e"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Collecting langchain\n","  Downloading langchain-0.0.100-py3-none-any.whl (343 kB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m343.1/343.1 KB\u001b[0m \u001b[31m7.1 MB/s\u001b[0m eta 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size=534840 sha256=800c8d01d9af5274c0d514185587bcb6dd406c2157936b1ff47f8323d18edce0\n","  Stored in directory: /root/.cache/pip/wheels/51/ba/d1/7b15d6a38922c6935ccd2e77142e1dfbee0324c8f1ba706352\n","Successfully built deeplake\n","Installing collected packages: requests, pyjwt, ppft, pox, numcodecs, mypy-extensions, jmespath, dill, typing-inspect, pycares, multiprocess, marshmallow-enum, humbug, botocore, s3transfer, pathos, dataclasses-json, aiohttp-retry, aiodns, boto3, aleph-alpha-client, hub, deeplake, langchain\n","  Attempting uninstall: requests\n","    Found existing installation: requests 2.25.1\n","    Uninstalling requests-2.25.1:\n","      Successfully uninstalled requests-2.25.1\n","Successfully installed aiodns-3.0.0 aiohttp-retry-2.8.3 aleph-alpha-client-2.16.1 boto3-1.26.83 botocore-1.29.83 dataclasses-json-0.5.7 deeplake-3.2.13 dill-0.3.6 hub-3.0.1 humbug-0.2.8 jmespath-1.0.1 langchain-0.0.100 marshmallow-enum-1.5.1 multiprocess-0.70.14 mypy-extensions-1.0.0 numcodecs-0.11.0 pathos-0.3.0 pox-0.3.2 ppft-1.7.6.6 pycares-4.3.0 pyjwt-2.6.0 requests-2.28.2 s3transfer-0.6.0 typing-inspect-0.8.0\n"]}]},{"cell_type":"code","source":["!pip install PyPDF2"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"v-SW53x91M0u","executionInfo":{"status":"ok","timestamp":1677873526478,"user_tz":300,"elapsed":9395,"user":{"displayName":"Greg Hayworth","userId":"07798746719312628238"}},"outputId":"d7fff801-d141-4c6c-8ea4-712002ba5a93"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Collecting PyPDF2\n","  Downloading pypdf2-3.0.1-py3-none-any.whl (232 kB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m232.6/232.6 KB\u001b[0m \u001b[31m6.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hRequirement already satisfied: typing_extensions>=3.10.0.0 in 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collected packages: hnswlib\n","  Building wheel for hnswlib (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n","  Created wheel for hnswlib: filename=hnswlib-0.7.0-cp38-cp38-linux_x86_64.whl size=2122759 sha256=1501023d2f03d777d631722e5eef13159162b3c7c0bfed8ed09c6f7f8af90fdf\n","  Stored in directory: /root/.cache/pip/wheels/93/0d/13/bbdc55499ef621f8f722fad91050fbb1380709f0c62fa7719a\n","Successfully built hnswlib\n","Installing collected packages: duckdb, zstandard, websockets, uvloop, sniffio, python-dotenv, lz4, httptools, hnswlib, h11, uvicorn, clickhouse-connect, anyio, watchfiles, starlette, fastapi, chromadb\n","Successfully installed anyio-3.6.2 chromadb-0.3.10 clickhouse-connect-0.5.14 duckdb-0.7.1 fastapi-0.92.0 h11-0.14.0 hnswlib-0.7.0 httptools-0.5.0 lz4-4.3.2 python-dotenv-1.0.0 sniffio-1.3.0 starlette-0.25.0 uvicorn-0.20.0 uvloop-0.17.0 watchfiles-0.18.1 websockets-10.4 zstandard-0.20.0\n"]}]},{"cell_type":"code","source":["import pickle\n","import json\n","from sentence_transformers import SentenceTransformer, CrossEncoder, util\n","import gzip\n","import os\n","from torch import load as torch_load\n","from torch import cuda as torch_cuda\n","\n","if not torch_cuda.is_available():\n","    print(\"Warning: No GPU found. Please add GPU to your notebook\")"],"metadata":{"id":"FalS1pl3lZiU"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["from langchain.text_splitter import CharacterTextSplitter, RecursiveCharacterTextSplitter"],"metadata":{"id":"YozNQMm_pUvq"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["import io\n","from urllib import request\n","from urllib.request import Request, urlopen\n","from PyPDF2 import PdfReader, PdfFileReader\n","import glob"],"metadata":{"id":"_mvxWttK0zKt"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["import chromadb\n","from chromadb.config import Settings"],"metadata":{"id":"dgU6DPNxsXMn"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["import pandas as pd"],"metadata":{"id":"lPS18ZtssWz3"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["#We use the Bi-Encoder to encode all passages, so that we can use it with sematic search\n","bi_encoder = SentenceTransformer('multi-qa-MiniLM-L6-cos-v1')\n","bi_encoder.max_seq_length = 256     #Truncate long passages to 256 tokens\n","\n","# #The bi-encoder will retrieve 100 documents. We use a cross-encoder, to re-rank the results list to improve the quality\n","# cross_encoder = CrossEncoder('cross-encoder/ms-marco-MiniLM-L-6-v2')"],"metadata":{"id":"QUPkHJdWm93P","executionInfo":{"status":"ok","timestamp":1677873607526,"user_tz":300,"elapsed":8663,"user":{"displayName":"Greg Hayworth","userId":"07798746719312628238"}},"colab":{"base_uri":"https://localhost:8080/","height":465,"referenced_widgets":["10eb9779438748bfb8ad99dcd9ce3d3a","09b438d106b1414e9b892f02cd777bab","d39682b0728149cfb6d4a12ca73133f1","490f1762de9d41eba6d640a2f58fefa6","3032bd2dc53e431482b99b85bf122b10","5d96897bfefb41979247783949026359","c702d88201f84031bc45a2baadf53b27","fd4e91968c0541e88bf59b63bb68912c","44e2130f4a9f4a0e86a0606f8f922075","90d19743b19145ee815480859a216cb6","41a1f45cf0054671bcc31ee911347864","5dfb8b5bf1624ee2a29b1c1ab8fff987","507b908348fe468aa1bf31d81bfc473a","ca6ef33cff074a51b45ab60672bd302d","ec2f49b717e34dc6987adde9258f2213","b1b51a3cb930453da1ab3c355e0587cc","5d1eab2b17b04984b4a295eac6601cfb","6d43636ec55e4d73a9c9922f55db464f","22564c97abb54b3f87328b81422d838c","791f5a810a07451c8d81895076e4913a","f63d663704c64c6897c2c3a1c5aafb11","654ab570ee934876811d46bec6a88ba9","2550746a5374498784a78b1dc1f968ba","f40be0b257144d9ba77130f771bf5189","24bae4e1885f434a8a43cfe2e359053d","977925667a464a968e7862e68e626e56","0a0abca0196c4b5f8a2ea97fad5059cd","2a77ad4716c44729a816c7d770b847ba","333f147e2afa42bd869a76e3db90698a","5ef6d9b6670b40d99e9ed70ed0a34b9a","26f0315fd93340bf99b13b3760d0e81e","cc9e51f21c7e4d2581396632633bbae7","18c5b6f048a44cd18265bbbe0ef280b3","c5fbfd770bd84ec6be4ea0fb0298a2eb","d088c981dab4402986bd3e3b8c83f7d2","c7dc80b4f95d4a57a1f9d1e915c4ec7c","43e41846315547b7ae51c8d4e5f23270","403fbe6be4804e27902492b6cda7bbd2","3cbf7c743c6e486ca9d87afff293313d","89d2292e7e824749a9205cf984fb1a40","2a7603e012e74e328089821a3381c538","5d1fac9ce54a4c188aa05a9412d39c17","6c845c91912743ad9d2da8e98177e7d9","9b651be15b7f408586e59d0fb443264a","a8f2efdf2e0247a2a7c1e60d54712006","75c2be0b65024b3491f4a9a9137947bb","d5216bd8fba84d60928acc027cc23368","2ad43accae3744338867ef30ef2da5db","48806dcb683b4372a69fe965a57f4c8f","e35f7f5fb1094a8183c21b4496579550","462dca889cc3447da922c26d540dffbf","c44f5da8f80542cf96f147fc38a2e95e","ac2c36664f8441b9b7d1585cd1c77a60","a8ce8e853292477e80269422c56058e0","2763dd360df143068cd92e49c2c31307","5ec485900b3040d78656e7d318d16acc","fe50813bf66c455cbf6a899f1f3eb955","db27f2420ef84869a10ee2b0b6e92040","da1b07dbc73d4c14a6e7c80087f51586","bc671c5262ee49dc994d53423e106523","f74ba3ad8a854f40a4ea9af657f0aee3","1bfc3db4c678481caff282cf93fb5a3d","d959529e209a4b5787012ec878eafdab","5e887f9eb05b4ea0947420037ff96760","0207ee19e740471682fafc4a10097259","fc2887847f614b2f9111eac778e9e42f","b6e3b382f045468fa4f012136a552ad5","f9bedd5d61544580b42f05da5f8270a7","1be5017a9d5f489cbde4d883f9686ec8","afa5c620e1f24483a8ab7b87bfeaf298","a07432d2d8df405ea2e8032d97a7bbe0","264a9bd6629d408c82f758482e02b729","656f995855d14d68ad43258f30d599d9","54d4d77f26a6421496c2d977cd08a57a","dc922365b67a474aa1a9181eb5f89be8","0ac3c9c3839b4023a1feeca2af21cdc2","ae01a57f919f4462ba1343e00c4fd8a7","c72d53de40084fb2a17dce7529e1ad75","e1f1d9a7a72c40c9be76fef87961a783","25d5ea8732b64617bcde0e87aa021793","dca89a8063c44d69be2f0095f42565b1","6779b27c12524da4bc8a0934501fa203","7600418561aa4ac98c42ce60ef439f39","4831dd60fe71451a80b7e8e4d61a16d4","3386e4758b7e457694894028a31b7d57","052d4181304f4033becef9c28944cd6e","621b9f695d084fc1a424bac6ca85c533","ff8315840f034d02b3c1a4e980f83c0c","ab209c56576a41e499fb5e0aa591f1a0","ef4d767d86964715857f191e9c75f3db","2f7543120e2f4dfea62bdb352e33fc6f","a114607aa2d34e50a6fc7dfc6f61eaf3","72cb3a8eed854194b43d430b1878597d","b4408d19207b43d78738bbd6dfeac9b3","e6df7d0584ef414fbf918c206350950e","208e6a30d28945dcba5dcfd1f215e134","7cfe9cf9a2e042d487aeb4f1c5a89f42","d3a07519e4c5492aad31a9160133aefb","b1291f22210e4a7cb357e5b980042265","ca54b099876e4aff87beebf053ae13c6","9a1903824de04f22a3fa31363f5664e6","58ea627715884245b4b3173745b7d733","05a13f4145b64bf88bd8f4db3a6caf15","69aee706ec63419aa624d35f1cf1c496","8b109d650e924b8a867fd1ff02d98cd0","4c0bc9e688f64cc2937f095ff5a5b40f","b4ed2740c74b436b9fc65c4edc5133ae","b1d680314d904327aac3a40cd2bcbb2a","d9d59afae6b14420adf65e929ba1510d","4ea017522d454cde80529f9ee614eb59","5402dd52e4c645fcbceafb3bdf560f1e","4c8947aca44e465d97aab54217d0f6b1","d2c971beabe74931939e524a39e54c62","00f236f8eee94e6db95cf51659e28ead","a1eef1837d6441c4a02ad0287fb48fb9","ab3d8e32fa46496d9533e97f4ed195c1","7dfa374ccdb44c43becd41e29ea372cd","4f1e417e57064827bcf2b070e00159b8","45d591ac44404454926ddfa5e43c3d8a","11cb840ebf84479d8011d9c89cc5350c","f62623f11e8e4d68a2b51dfd62c33a2c","f7323bf4d33f4631b569d52b4154d3a3","b0b49c6a4e95400f9d68f97e6077d098","b7875c951bb743dcbdb351d6c5848f89","be102a07521b4313b7e895c9d890b7cb","7ba845c4d61f4b01b289c73ba897cf0f","fe0181fcc41548ccb475b8791a1edf31","875c703211944c09815a9b65d1ef99a0","bb26108792a94fdaa1ff67b26bb60828","598b1b4a72024919b4a72fc035ae12f8","d3c4d32075724f71adc6efdcd2838c59","68e7587f539248d8945109c080284901","8b68c790ef1c4293aaf462884f23b16d","5ef45280b900471d974c13f18f2c8314","ea14a9959d8e4e788fba58e0db8016f5","8a35e88d87ea48018a463db3a3010003","0922ce12e4e0480d8e0c61ad2bb5b433","c3b99174eacd45278679e690604fcc05","008205b1dc1d40b5975582df9215f993","aa3f038e8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\"/content/gdrive/My Drive/Colab Notebooks/\""],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"rKblXPeW2A4G","executionInfo":{"status":"ok","timestamp":1677873934995,"user_tz":300,"elapsed":132,"user":{"displayName":"Greg Hayworth","userId":"07798746719312628238"}},"outputId":"8c0ab017-eed5-4a24-bcc2-ce6cd7f588b1"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["/content/gdrive/My Drive/Colab Notebooks\n"]}]},{"cell_type":"markdown","source":["# ingest pdf from URL"],"metadata":{"id":"SdnsRpSA2P0m"}},{"cell_type":"code","source":["!ls './ama_wiki/data/bene_pdf/'"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"pJrCqHJK2CFq","executionInfo":{"status":"ok","timestamp":1677873954479,"user_tz":300,"elapsed":1397,"user":{"displayName":"Greg Hayworth","userId":"07798746719312628238"}},"outputId":"3afb180f-df89-4b54-9d80-d69326971bc5"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["H1036234000SB23.pdf  H5216107000SB23.pdf  S5884138000SB23.pdf\n","H1036235000SB23.pdf  H5216324000SB23.pdf\n","H1036236000SB23.pdf  H5619075000SB23.pdf\n"]}]},{"cell_type":"code","source":["text_splitter = CharacterTextSplitter(chunk_size=200, chunk_overlap=0,  separator='\\n' )"],"metadata":{"id":"TmtS7nyuYRGN"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["prefx = 'https://www.humana-medicare.com/BenefitSummary/2023PDFs/'"],"metadata":{"id":"YYsvFS8OidMO"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["mypassages = []\n","mymetadatas = []\n","for pth in glob.glob('./ama_wiki/data/bene_pdf/*.pdf'):\n","  fl_pth, fl_nm = os.path.split(pth)\n","  print(fl_nm)\n","  with open(pth, 'rb') as f:\n","    pdf_file = PdfReader(f)\n","    for pg, p_obj in enumerate(pdf_file.pages):\n","    #  print(pg+1)\n","      p_txt = p_obj.extract_text()\n","      #passages = p_txt.split('\\n')\n","      texts = text_splitter.split_text(p_txt)\n","      for t in texts:\n","        mypassages.append(t)\n","        d = {'source':fl_nm, 'page': pg+1, 'url':prefx+str(fl_nm)+'#page='+str(pg+1)}\n","        mymetadatas.append(d)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"jwkVTN9Cg0Mm","executionInfo":{"status":"ok","timestamp":1677874033906,"user_tz":300,"elapsed":12818,"user":{"displayName":"Greg Hayworth","userId":"07798746719312628238"}},"outputId":"8a8f9158-f240-4d86-81ce-c7e48fb38feb"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["H5619075000SB23.pdf\n","S5884138000SB23.pdf\n","H1036234000SB23.pdf\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:root:Created a chunk of size 329, which is longer than the specified 200\n"]},{"output_type":"stream","name":"stdout","text":["H1036235000SB23.pdf\n","H5216324000SB23.pdf\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:root:Created a chunk of size 329, which is longer than the specified 200\n"]},{"output_type":"stream","name":"stdout","text":["H5216107000SB23.pdf\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:root:Created a chunk of size 329, which is longer than the specified 200\n"]},{"output_type":"stream","name":"stdout","text":["H1036236000SB23.pdf\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:root:Created a chunk of size 329, which is longer than the specified 200\n"]}]},{"cell_type":"code","source":["myembeddings = bi_encoder.encode(mypassages, convert_to_tensor=True, show_progress_bar=True)\n","myembeddings_list = myembeddings.tolist()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":183},"id":"UcqhxylOkOup","executionInfo":{"status":"error","timestamp":1678112223530,"user_tz":300,"elapsed":148,"user":{"displayName":"Greg Hayworth","userId":"07798746719312628238"}},"outputId":"f27c6947-9ddf-4b89-cc03-45fde0e102d4"},"execution_count":1,"outputs":[{"output_type":"error","ename":"NameError","evalue":"ignored","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)","\u001b[0;32m<ipython-input-1-6e7bb0e8a9c3>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmyembeddings\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbi_encoder\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mencode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmypassages\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconvert_to_tensor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mshow_progress_bar\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mmyembeddings_list\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmyembeddings\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtolist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mNameError\u001b[0m: name 'bi_encoder' is not defined"]}]},{"cell_type":"code","source":[],"metadata":{"id":"ETDTU0YskOkd"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["chroma_client = chromadb.Client(settings=Settings(\n","    chroma_db_impl=\"duckdb+parquet\",\n","    persist_directory=\"./q_sales/data/mychromadb/\" # Optional, defaults to .chromadb/ in the current directory\n","))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"ltMoTm1vkOM6","executionInfo":{"status":"ok","timestamp":1677874078364,"user_tz":300,"elapsed":946,"user":{"displayName":"Greg Hayworth","userId":"07798746719312628238"}},"outputId":"d5c73556-a1c0-4069-9aa5-7158b80e559a"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["DEBUG:Chroma:Logger created\n"]},{"output_type":"stream","name":"stdout","text":["Running Chroma using direct local API.\n","No existing DB found in ./q_sales/data/mychromadb/, skipping load\n","No existing DB found in ./q_sales/data/mychromadb/, skipping load\n"]}]},{"cell_type":"code","source":["!ls './q_sales/data/mychromadb/'"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"W8c2EQlc2Oc0","executionInfo":{"status":"ok","timestamp":1677874179770,"user_tz":300,"elapsed":249,"user":{"displayName":"Greg Hayworth","userId":"07798746719312628238"}},"outputId":"a45c1543-a0ab-4b58-f597-abdb18f4fe99"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["index\n"]}]},{"cell_type":"code","source":["#chroma_client.delete_collection(name=\"benefit_collection\")"],"metadata":{"id":"UkP3SvYN2OWE"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["collection = chroma_client.create_collection(name=\"benefit_collection\", embedding_function=bi_encoder)"],"metadata":{"id":"N33r1sDe2OQD"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["mx_id = (collection.count() - 1)\n","mx_id"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"eF0pekWTtWD_","executionInfo":{"status":"ok","timestamp":1677607757193,"user_tz":300,"elapsed":25,"user":{"displayName":"Greg Hayworth","userId":"07798746719312628238"}},"outputId":"abb8d4c9-1538-4423-9610-19258283a677"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["-1"]},"metadata":{},"execution_count":22}]},{"cell_type":"code","source":["# start from max of current value doc id\n","mydocids = []\n","for i, p in enumerate(mypassages):\n","  mydocids.append(str(i) ) #+(mx_id+1) ### for subsequent runs\n","len(mydocids)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"GEHaf0itjr_m","executionInfo":{"status":"ok","timestamp":1677874164843,"user_tz":300,"elapsed":121,"user":{"displayName":"Greg Hayworth","userId":"07798746719312628238"}},"outputId":"e24ab1a0-bec3-466d-c147-de2bd626d300"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["1390"]},"metadata":{},"execution_count":26}]},{"cell_type":"code","source":["collection.add(\n","    embeddings= myembeddings_list,\n","    documents= mypassages,\n","    metadatas=mymetadatas,\n","    ids=mydocids\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Rs6OBCvG2OKH","executionInfo":{"status":"ok","timestamp":1677874172793,"user_tz":300,"elapsed":977,"user":{"displayName":"Greg Hayworth","userId":"07798746719312628238"}},"outputId":"beed37ce-c0dc-4e27-b07f-7029d1e85efe"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["DEBUG:Chroma:Index not found\n","DEBUG:Chroma:Index saved to {self._save_folder}/index.bin\n","DEBUG:Chroma:Index saved to {self._save_folder}/index.bin\n"]}]},{"cell_type":"code","source":["collection.get(ids=[str(1389)],\n","               include=[\"documents\",\"metadatas\"])"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"BkzqWk6wtje3","executionInfo":{"status":"ok","timestamp":1677874196587,"user_tz":300,"elapsed":123,"user":{"displayName":"Greg Hayworth","userId":"07798746719312628238"}},"outputId":"443b3ed9-673c-4db9-f06d-d05a52c37ffb"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["{'ids': ['1389'],\n"," 'embeddings': None,\n"," 'documents': ['Humana Community (HMO) \\nH1036236000 ENG \\nJefferson County \\nHumana.com \\nGNHH4HIEN_23_C Summary of Benefits H1036236000SB23'],\n"," 'metadatas': [{'source': 'H1036236000SB23.pdf',\n","   'page': 28,\n","   'url': 'https://www.humana-medicare.com/BenefitSummary/2023PDFs/H1036236000SB23.pdf#page=28'}]}"]},"metadata":{},"execution_count":29}]},{"cell_type":"code","source":["# important to do this if you want to save the data for re-use\n","chroma_client.persist()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"-XpFU35Zssa2","executionInfo":{"status":"ok","timestamp":1677874206175,"user_tz":300,"elapsed":446,"user":{"displayName":"Greg Hayworth","userId":"07798746719312628238"}},"outputId":"bb123aa5-0a1b-4df1-e7bf-07584aee91fc"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Persisting DB to disk, putting it in the save folder ./q_sales/data/mychromadb/\n"]},{"output_type":"execute_result","data":{"text/plain":["True"]},"metadata":{},"execution_count":30}]},{"cell_type":"code","source":["!ls './q_sales/data/mychromadb/'"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"O8w01y9vGMLt","executionInfo":{"status":"ok","timestamp":1677874221452,"user_tz":300,"elapsed":301,"user":{"displayName":"Greg Hayworth","userId":"07798746719312628238"}},"outputId":"96db664c-3ea1-4a46-93c6-0f1b693620d5"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["chroma-collections.parquet  chroma-embeddings.parquet  index\n"]}]},{"cell_type":"markdown","source":["# Use existing collection"],"metadata":{"id":"sg331hx1tZbR"}},{"cell_type":"code","source":["chroma_client = chromadb.Client(settings=Settings(\n","    chroma_db_impl=\"duckdb+parquet\",\n","    persist_directory=\"./q_sales/data/mychromadb/\" # Optional, defaults to .chromadb/ in the current directory\n","))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"0Rs_e9kevzsN","executionInfo":{"status":"ok","timestamp":1677599923305,"user_tz":300,"elapsed":1739,"user":{"displayName":"Greg Hayworth","userId":"07798746719312628238"}},"outputId":"685616c1-5c30-4c53-a60e-0589e00c6715"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["DEBUG:Chroma:Logger created\n"]},{"output_type":"stream","name":"stdout","text":["Running Chroma using direct local API.\n","loaded in 1382 embeddings\n","loaded in 1 collections\n"]}]},{"cell_type":"code","source":["collection = chroma_client.get_collection(name=\"benefit_collection\", embedding_function=bi_encoder)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":465,"referenced_widgets":["337e49dc298644829d5df46209ea7e1b","efc77cc8e81044a0832ab8d441ba6348","6a5d3d6375954dcd82c762e244cfa5e6","3aca9144c9d44a5d90f77aec0d979ed8","f130241689ca420baa51dd1993946ca3","77daf0f055c345f598255a732c8f9e97","a2f3c5ed55944009a7402d11a5999b0a","93f0597b552f4073bb985e6f367729e7","a8e7197fe1a24b71a67e438b9af456f2","d105f2864c2748a180a5fc1a043e9095","1c491013f21f46c5ab258ddd57d858a0","cd655c21860842fc80934fc27713f222","7012c11e2c0d4f238b77e0126a3b20ce","973c0abde7d04e5887e7e89e27e9fe6d","dca55d0e4b1846b1a66ba1b7885272f0","8e62b39063cd48a6928be1573011ec55","8f96edb4b0034b6b826ab067bafbfd09","21bfd9668522449ba941fcc255c213d9","9b3464d752b84840aa84e20318b73b1e","dcf53258bcca45ad9118dbf16270f911","593168b0357c498fa7f1a270c3d53220","198b5ace460d4693b8432bb7f085d981","335360a065f24452ab0432963359db35","9ce0f3f290a043f6a05a440948f3a34a","84896981856d4a1a926fc3cf43de480f","08cc343446f94cef8555849cf4f46c2d","8a752eeb6b5442ec9caa6ad79657508b","8c886d187c0349a3a2c3883fbacd8ae6","ebe1fc7907f14f5e837b0194673a3408","8fae49e49726418a9e0a05086bf04893","a425601dd6b34c67a3cb1f576b07a242","7d5baead98484d8eba8bed2acc58b237","0bc4d6c8422d4d90843062ba9e143a06","a0b68fae0a2a46bfa60bb25b2fb7ced6","9be0958002cd40488147853009d5dd82","3c9d03c641ca49cbab5bc80af8a9b852","f0bfd4c550574a8098c22c72dbf976be","ecf2c0077c634a4991af9ef120e4835c","4a67e685885946d5beafb30ab28325b9","92c597fcbb98414ea128322709c9c796","309dcab2f95a413699403b7f0cd85b5b","b81accd383dc4bbf9b8f48e1ddc66b6d","c8fa4a4723a64109adc15af2f002a7fb","f4f510af77174661a586c4cbefd5497b","05d43c556875468ba42170ac5a77d911","eb7057b57f2140c5b1f412504d5deecc","e29d6ec071114e4cb6bb079d022d8f85","f877973143d7486c85338fcc523e090b","9087abe238164d51bb436b9c2d610154","c47e8c11654d40a694a7673d8984c1ac","23a22d89c9584fb59dcdd13cc7bc4db5","70152cd563024d92879ce41888bb32d7","ff7ece545814400694703c55672ad251","199b0374d6584497b84ccd4fb38c0e27","c9c1b7017ef543b3a45cb393bf5830ea","05db165fa7384a3aabba6ab7b8a1d4a0","74347e8110214ece9100d5d2491d520c","475f3b7c661847ccb2e16b89a7d1b095","fc931b2bfaad4887b6b1294a26a393e3","d5a0395128894415af0da0e062ea48c8","2ebf0ba338474c738add00022dcd628e","cc9507f149554043ba2b7f6368752025","2737d00efc1d4f30828c4d488acadee2","25bcfa5638d9438da4fa638dc00df643","3a66e1650dd5462b9a1654c0457d8d8e","26dc39823e974c9da68431712ce8a0ae","08b65e81e10842a8931c3fa949a2eff5","1e4fde32aaf04fea9aeea14ba4309b26","346b814a070b4baf8b08cdc9adec2eb7","44b0ff336d27498f94920c26ecdf93ba","6aff551799304bb5913b7dbef55355ae","01f065296f8249999b6c40718e11c4e1","86f647a1803a4f0381a55148e6df0e7e","df40d2b873bc46b7aaf5501bd8e1cdd7","9bfa46d458404a5d956b9068bb160e08","ca31de1ea8964ddbbb961921c4c020f7","fcab0947c39845fc90551456d1d7fcf0","fbc125c3ef61483bbf05b1cceae0e0fe","4f2c1ffface644898783a4d491cffde8","ea919ccdfba54935b9d04abf7879ca59","15d679b04d404c63a600d9a34265f1f6","1ef62c85f4d24ecda06e0156444950f4","3a2c8d4ad3c54371863f9f90dc87e132","d8014b7e3e074b2f9dccc190c0f8a553","b85bc062c33f412a83b76c5d3bc929e7","bb337481c8af4a81a6b7faf7c7f62b60","a08c4962e5bd4d67afd40ee556be2245","c5f32f9282a54299902d438ffa37d8e0","4e2a37645cb142beb98cd24f0581e4a4","79e02e766dd94e159e174e599d2e66dd","efa79ca411b24078ba35bd03580924f9","79a322fee53344d285020d9c1ba559f3","0165b6b9d46c47c39b58a9f9c68b6890","7b647e450b894b16b5a8b8bd2ba7e3a0","aa0ead1eeaba4aeda8b8743414d114d9","74a1978025954f639acac28dd63cd97a","9ddc09a65dfd43918aad6e5f55d4d975","6273b92c189346fd8fbc72c141c16654","ea3ec9c283b74c4498b0a9f3dc2a8c56","a116a02342d14e91a279dc6115ddacb5","e1f351f2144d494aa9f1dafbf1dfb3ca","dd216fcfe2ce47f081a3b4bc8845719c","c4b56adecd4c44daae71a43a0612411f","f9fd73e7efe84839ba1f5fbe8218b76c","aa00393f0a6d42b6978851468b8218e7","2f78598708ff444e83baece3d9707865","dba078e3d2f04797aeaa62be3ef43858","a8f21b0ad01541a3a881ba8584ac17ff","e8af010f77ea4c87ad1001f7176c5d6a","e96bdb2304334d7dbb2cba17348b4bf6","810898b6e8c34e75b4e9e73dfd47626d","f08c3a0d02844d3e9fbcd1824bf47649","87db2fd8a7a64155b0a6dd8b629f2e16","20e38571695e4c849dfccccd70dba668","7f28eec8e4fd41d780b3731845d337b7","c692fea24bda4266891175fd6557eaac","8b5ffa580ac24c659b58339d99606ab5","9f0994e5eaa24b87a66384a6c458b9fc","ff7d58bdc6b54b6f9ce72b4fcb6e1672","e242437557814610886b8b23b3ba59f6","a8f0d49c86db4bde9aed2431c13923c3","fd953f76d0f04556b5851db0226092fe","4e7f956bb6364dceaa9eaa6d8d4e9923","2411efc7f97143069f1119924abd9710","d358f6564d434e619a011317adb52d57","751fa8ffdfd14027b931a2599e41a747","51c7591098874016a924e22ac413c92c","ef08bdf0c3184fbb89059be05d0873f3","75240dcc922147a692d374047ea46aa0","97d0c5032293454abf905d545754bfed","aa41473022554791ae9ffdaf96bb8b1e","467e3bdba5ec4d34b041984ac131f838","f6716e1424ae4bf5a4b255fa6320bc78","90fc896c9822481380d8b61686a760e2","781a01cb2570428397ff1b5b5a29ce8d","6ac61a3a264f43c5a194f4210d35a774","cbc2a7006b31470c9685c7695d797d35","6be33ca85c764b2396ed550d7b487deb","ac1571ec17fa4c5c9985cb51322e6cb5","c7b59425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Hayworth","userId":"07798746719312628238"}},"outputId":"6c51ce30-333c-4ed3-bedb-6b63b74b27fd"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["Downloading (…)e9125/.gitattributes:   0%|          | 0.00/1.18k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"337e49dc298644829d5df46209ea7e1b"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (…)_Pooling/config.json:   0%|          | 0.00/190 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"cd655c21860842fc80934fc27713f222"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (…)7e55de9125/README.md:   0%|          | 0.00/10.6k [00:00<?, 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print(d)\n","  print('\\n')\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"VcJtkk-72OEG","executionInfo":{"status":"ok","timestamp":1677599957422,"user_tz":300,"elapsed":1267,"user":{"displayName":"Greg Hayworth","userId":"07798746719312628238"}},"outputId":"a66c7f8f-3294-4b7b-e0c4-ffc1e980642f"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["DEBUG:Chroma:time to pre process our knn query: 3.5762786865234375e-06\n","DEBUG:Chroma:time to run knn query: 0.00017070770263671875\n"]},{"output_type":"stream","name":"stdout","text":["•Obesity screening and counseling \n","•Prostate cancer screenings (PSA) \n","•Sexually transmitted infections screening and counseling \n","•Tobacco use cessation counseling (counseling for people with no\n","\n","\n","•Obesity screening and counseling \n","•Prostate cancer screenings (PSA) \n","•Sexually transmitted infections screening and counseling \n","•Tobacco use cessation counseling (counseling for people with no\n","\n","\n"]}]},{"cell_type":"code","source":["def vdb_qry(qry,src,top_n=5):\n","  results = collection.query(\n","    query_embeddings=[ bi_encoder.encode(qry) ],\n","    n_results=top_n,\n","    where={\"source\": src},\n","    )\n","  rslt_pd = pd.DataFrame(results ).explode(['ids','documents', 'metadatas', 'distances', 'embeddings'])\n","  rslt_fmt = pd.concat([rslt_pd.drop(['metadatas'], axis=1), rslt_pd['metadatas'].apply(pd.Series)], axis=1 )\n","  return rslt_fmt"],"metadata":{"id":"DgB59Bz_2NwW"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["qry = 'prostate cancer screening'\n","src = 'H1036236000SB23.pdf'\n","rslt_fmt = vdb_qry(qry,src, top_n=10)\n","rslt_fmt"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":398},"id":"06jN7B9arW2f","executionInfo":{"status":"ok","timestamp":1677600114320,"user_tz":300,"elapsed":9,"user":{"displayName":"Greg Hayworth","userId":"07798746719312628238"}},"outputId":"820faa2c-cb2a-49b2-92e5-511c471658a6"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["DEBUG:Chroma:time to pre process our knn query: 0.00010514259338378906\n","DEBUG:Chroma:time to run knn query: 0.0008327960968017578\n"]},{"output_type":"execute_result","data":{"text/plain":["   ids                                         embeddings  \\\n","0   40  [0.03424154967069626, 0.039619386196136475, -0...   \n","0   38  [0.03241836652159691, 0.02051578275859356, 0.0...   \n","0   39  [-0.012141721323132515, 0.006035255268216133, ...   \n","0   41  [0.00424062879756093, 0.11815327405929565, 0.0...   \n","0   42  [-0.07712288945913315, 0.12926293909549713, 0....   \n","0  154  [0.005615254398435354, 0.07474204152822495, 0....   \n","0   28  [-0.006602243520319462, 0.06320885568857193, 0...   \n","0   78  [-0.008955741301178932, 0.06341414153575897, 0...   \n","0   62  [-0.00851522572338581, 0.07434328645467758, 0....   \n","0   48  [-0.00867101177573204, 0.06424014270305634, 0....   \n","\n","                                           documents distances  \\\n","0  •Obesity screening and counseling \\n•Prostate ...  0.947326   \n","0  •Alcohol misuse counseling \\n•Bone mass measur...  0.970621   \n","0  •Colorectal cancer screenings (colonoscopy, fe...  1.155411   \n","0  sign of tobacco-related disease) \\n•Vaccines, ...  1.279324   \n","0  •Routine physical exam \\n•Medicare diabetes pr...  1.358703   \n","0  and should not be construed as medical advice....  1.402395   \n","0  contact your PCP or refer to the Evidence of C...  1.415057   \n","0  contact your PCP or refer to the Evidence of C...  1.417454   \n","0  contact your PCP or refer to the Evidence of C...  1.422721   \n","0  contact your PCP or refer to the Evidence of C...  1.423319   \n","\n","                source  page  \\\n","0  H1036236000SB23.pdf     7   \n","0  H1036236000SB23.pdf     7   \n","0  H1036236000SB23.pdf     7   \n","0  H1036236000SB23.pdf     7   \n","0  H1036236000SB23.pdf     7   \n","0  H1036236000SB23.pdf    17   \n","0  H1036236000SB23.pdf     6   \n","0  H1036236000SB23.pdf    10   \n","0  H1036236000SB23.pdf     9   \n","0  H1036236000SB23.pdf     8   \n","\n","                                                 url  \n","0  https://www.humana-medicare.com/BenefitSummary...  \n","0  https://www.humana-medicare.com/BenefitSummary...  \n","0  https://www.humana-medicare.com/BenefitSummary...  \n","0  https://www.humana-medicare.com/BenefitSummary...  \n","0  https://www.humana-medicare.com/BenefitSummary...  \n","0  https://www.humana-medicare.com/BenefitSummary...  \n","0  https://www.humana-medicare.com/BenefitSummary...  \n","0  https://www.humana-medicare.com/BenefitSummary...  \n","0  https://www.humana-medicare.com/BenefitSummary...  \n","0  https://www.humana-medicare.com/BenefitSummary...  "],"text/html":["\n","  <div id=\"df-0f73e5a5-7ae9-4653-9757-a3ac62324852\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>ids</th>\n","      <th>embeddings</th>\n","      <th>documents</th>\n","      <th>distances</th>\n","      <th>source</th>\n","      <th>page</th>\n","      <th>url</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>40</td>\n","      <td>[0.03424154967069626, 0.039619386196136475, -0...</td>\n","      <td>•Obesity screening and counseling \\n•Prostate ...</td>\n","      <td>0.947326</td>\n","      <td>H1036236000SB23.pdf</td>\n","      <td>7</td>\n","      <td>https://www.humana-medicare.com/BenefitSummary...</td>\n","    </tr>\n","    <tr>\n","      <th>0</th>\n","      <td>38</td>\n","      <td>[0.03241836652159691, 0.02051578275859356, 0.0...</td>\n","      <td>•Alcohol misuse counseling \\n•Bone mass measur...</td>\n","      <td>0.970621</td>\n","      <td>H1036236000SB23.pdf</td>\n","      <td>7</td>\n","      <td>https://www.humana-medicare.com/BenefitSummary...</td>\n","    </tr>\n","    <tr>\n","      <th>0</th>\n","      <td>39</td>\n","      <td>[-0.012141721323132515, 0.006035255268216133, ...</td>\n","      <td>•Colorectal cancer screenings (colonoscopy, fe...</td>\n","      <td>1.155411</td>\n","      <td>H1036236000SB23.pdf</td>\n","      <td>7</td>\n","      <td>https://www.humana-medicare.com/BenefitSummary...</td>\n","    </tr>\n","    <tr>\n","      <th>0</th>\n","      <td>41</td>\n","      <td>[0.00424062879756093, 0.11815327405929565, 0.0...</td>\n","      <td>sign of tobacco-related disease) \\n•Vaccines, ...</td>\n","      <td>1.279324</td>\n","      <td>H1036236000SB23.pdf</td>\n","      <td>7</td>\n","      <td>https://www.humana-medicare.com/BenefitSummary...</td>\n","    </tr>\n","    <tr>\n","      <th>0</th>\n","      <td>42</td>\n","      <td>[-0.07712288945913315, 0.12926293909549713, 0....</td>\n","      <td>•Routine physical exam \\n•Medicare diabetes pr...</td>\n","      <td>1.358703</td>\n","      <td>H1036236000SB23.pdf</td>\n","      <td>7</td>\n","      <td>https://www.humana-medicare.com/BenefitSummary...</td>\n","    </tr>\n","    <tr>\n","      <th>0</th>\n","      <td>154</td>\n","      <td>[0.005615254398435354, 0.07474204152822495, 0....</td>\n","      <td>and should not be construed as medical advice....</td>\n","      <td>1.402395</td>\n","      <td>H1036236000SB23.pdf</td>\n","      <td>17</td>\n","      <td>https://www.humana-medicare.com/BenefitSummary...</td>\n","    </tr>\n","    <tr>\n","      <th>0</th>\n","      <td>28</td>\n","      <td>[-0.006602243520319462, 0.06320885568857193, 0...</td>\n","      <td>contact your PCP or refer to the Evidence of C...</td>\n","      <td>1.415057</td>\n","      <td>H1036236000SB23.pdf</td>\n","      <td>6</td>\n","      <td>https://www.humana-medicare.com/BenefitSummary...</td>\n","    </tr>\n","    <tr>\n","      <th>0</th>\n","      <td>78</td>\n","      <td>[-0.008955741301178932, 0.06341414153575897, 0...</td>\n","      <td>contact your PCP or refer to the Evidence of C...</td>\n","      <td>1.417454</td>\n","      <td>H1036236000SB23.pdf</td>\n","      <td>10</td>\n","      <td>https://www.humana-medicare.com/BenefitSummary...</td>\n","    </tr>\n","    <tr>\n","      <th>0</th>\n","      <td>62</td>\n","      <td>[-0.00851522572338581, 0.07434328645467758, 0....</td>\n","      <td>contact your PCP or refer to the Evidence of C...</td>\n","      <td>1.422721</td>\n","      <td>H1036236000SB23.pdf</td>\n","      <td>9</td>\n","      <td>https://www.humana-medicare.com/BenefitSummary...</td>\n","    </tr>\n","    <tr>\n","      <th>0</th>\n","      <td>48</td>\n","      <td>[-0.00867101177573204, 0.06424014270305634, 0....</td>\n","      <td>contact your PCP or refer to the Evidence of C...</td>\n","      <td>1.423319</td>\n","      <td>H1036236000SB23.pdf</td>\n","      <td>8</td>\n","      <td>https://www.humana-medicare.com/BenefitSummary...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0f73e5a5-7ae9-4653-9757-a3ac62324852')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 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This '"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"}},"metadata":{},"execution_count":8}]},{"cell_type":"code","source":["text_splitter = CharacterTextSplitter(chunk_size=500, chunk_overlap=0,  separator='\\n' )\n","passages = text_splitter.split_text(policy_doc)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"YREpKYUUo7tA","executionInfo":{"status":"ok","timestamp":1675367316231,"user_tz":300,"elapsed":321,"user":{"displayName":"Greg Hayworth","userId":"07798746719312628238"}},"outputId":"7e1c4b1e-d7fb-43da-8694-b53eefd772ef"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["WARNING:root:Created a chunk of size 547, which is longer than the specified 500\n","WARNING:root:Created a chunk of size 550, which is longer than the specified 500\n","WARNING:root:Created a chunk of size 511, which is longer than the specified 500\n"]}]},{"cell_type":"code","source":["len(passages)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"QFv2pth1qPvJ","executionInfo":{"status":"ok","timestamp":1675367323585,"user_tz":300,"elapsed":332,"user":{"displayName":"Greg Hayworth","userId":"07798746719312628238"}},"outputId":"ff02e7d1-1b0f-423d-e421-12637a50aaa9"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["60"]},"metadata":{},"execution_count":35}]},{"cell_type":"code","source":["passages[:5]"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"4BtOIR-5o7lM","executionInfo":{"status":"ok","timestamp":1675367323934,"user_tz":300,"elapsed":6,"user":{"displayName":"Greg Hayworth","userId":"07798746719312628238"}},"outputId":"94b47403-09d9-4c76-9b37-c76e72e2d694"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["['These are the summary of benefits for the plan named Humana Community HMO H1036-236. This plan is available in the county of Jefferson in Kentucky. This plan applies to the year 2023.\\n\\nThe Pre-Enrollment Checklist includes Understanding the Benefits.\\nBefore making an enrollment decision, it is important that you fully understand our benefits and rules. If you have any questions, you can call and speak to a customer service representative at 1-800-833-2364 (TTY: 711).',\n"," 'Understanding the Benefits. The Evidence of Coverage (EOC) provides a complete list of all coverage and services. It is important to review plan coverage, costs and benefits before you enroll. Visit Humana.com/medicare or call 1-800-833-2364 (TTY: 711) to view a copy of the Evidence of Coverage EOC.\\nReview the provider directory (or ask your doctor) to make sure the doctors you see now are in the network. If they are not listed, it means you will likely have to select a new doctor.',\n"," 'Review the pharmacy directory to make sure the pharmacy you use for any prescription medicines is in the network. If the pharmacy is not listed, you will likely have to select a new pharmacy for your prescriptions.\\nReview the formulary to make sure your drugs are covered. \\n\\nHere are important Rules. You must continue to pay your Medicare Part B premium. This premium is normally taken out of your Social Security check each month.',\n"," 'Benefits, premiums and/or copayments/co-insurance may change on January 1, 2024.\\nExcept in emergency or urgent situations, we do not cover services by out-of-network providers. Out-of-network providers are doctors who are not listed in the provider directory.\\n\\nTo find out more about the Humana Community HMO plan, including the health and drug services it covers in this easy-to-use guide.',\n"," 'To be eligible to join the Humana Community HMO plan, you must be entitled to Medicare Part A, be enrolled in Medicare Part B and live in our service area.\\nIf you are a member of this plan, call toll-free 1-800-457-4708. If you are not a member of this plan, call toll free 1-800-833-2364. From October 1 to March 31, call 7 days a week from 8am to 8pm. From April 1st to September 30th, you can call from Monday to Friday from 8am to 8pm. Our website is https://humana.com/medicare .']"]},"metadata":{},"execution_count":36}]},{"cell_type":"code","source":["# We encode all passages into our vector space. 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