Update README.md

README.md

@@ -18,7 +18,7 @@ It uses OpenAI  embeddings to query the database for semantic similarity search.
 
 1. [Create an Atlas cluter](https://www.mongodb.com/docs/atlas/tutorial/deploy-free-tier-cluster/) (free clusters are available)
 2. Load [sample data](https://www.mongodb.com/docs/atlas/sample-data/)
-3. Deploy the relevant [Vector Index](https://www.mongodb.com/docs/atlas/atlas-vector-search/vector-search-tutorial/#create-the-atlas-vector-search-index) on `sample_mflix.embedded_movies`
+3. Deploy the relevant [Vector Index](https://www.mongodb.com/docs/atlas/atlas-vector-search/vector-search-tutorial/#create-the-atlas-vector-search-index) on `sample_mflix.haystack_embedded_movies` with 1536 dimensions.
      - [Whitelist](https://www.mongodb.com/docs/atlas/security/ip-access-list/#std-label-access-list) access from everywhere (`0.0.0.0/0`)
      - Locate your [cluster connection](https://www.mongodb.com/docs/atlas/tutorial/connect-to-your-cluster/) URI 
 5. Obtain your Open AI api key