openai-cookbook/examples/vector_databases
2023-12-05 12:56:02 -08:00
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analyticdb Fix typo in QA_with_Langchain_AnalyticDB_and_OpenAI.ipynb (#582) 2023-07-12 12:28:14 -07:00
azuresearch Minor change to use SearchIndexingBufferedSender to support optimized batch indexing (#712) 2023-09-26 16:43:05 -07:00
cassandra_astradb Cassandra / Astra DB demo notebooks: adapt to OpenAI 1.0, add support for Astra DB HTTP API, and other upgrades (#853) 2023-11-14 13:37:27 -08:00
chroma Update notebooks (#598) 2023-07-24 15:59:33 -07:00
deeplake Add Deep Lake vector database example (#455) 2023-10-02 11:20:03 -07:00
elasticsearch [elasticsearch] fix typo in signup url (#726) 2023-09-27 16:02:50 -07:00
hologres Add Hologres as a vector database with python notebook example (#404) 2023-05-19 11:16:27 -07:00
kusto kusto vector sample added 2023-05-11 11:06:34 +08:00
milvus Zilliz integration and Milvus bugfixes (#259) 2023-03-28 15:36:24 -07:00
mongodb_atlas Adding MongoDB Atlas to examples of Vector Databases (#874) 2023-12-05 12:56:02 -08:00
myscale Splitting Vector Databases into individual cookbooks (#529) 2023-06-28 01:37:01 -07:00
neon Update Neon cookbook README.md (#747) 2023-09-29 18:22:39 -07:00
pinecone Update Using_Pinecone_for_embeddings_search.ipynb (#803) 2023-10-19 10:42:13 -07:00
PolarDB Add getting started with PolarDB vector database and OpenAI example. (#489) 2023-07-11 17:13:26 -07:00
qdrant Refactor Qdrant notebooks (#556) 2023-06-29 07:47:18 -07:00
redis Added embeddings_utils.py to utils directory, and updated references (#841) 2023-11-10 12:07:25 -05:00
SingleStoreDB Added embeddings_utils.py to utils directory, and updated references (#841) 2023-11-10 12:07:25 -05:00
tair Add Tair to examples of vector database (#609) 2023-09-11 15:16:00 -07:00
typesense Splitting Vector Databases into individual cookbooks (#529) 2023-06-28 01:37:01 -07:00
weaviate docs: fix typos (#811) 2023-10-31 11:37:00 -07:00
zilliz update to token for zilliz (#552) 2023-06-27 12:53:26 -07:00
README.md Adds Supabase to list of vector databases (#819) 2023-11-07 14:37:46 -08:00

Vector Databases

This section of the OpenAI Cookbook showcases many of the vector databases available to support your semantic search use cases.

Vector databases can be a great accompaniment for knowledge retrieval applications, which reduce hallucinations by providing the LLM with the relevant context to answer questions.

Each provider has their own named directory, with a standard notebook to introduce you to using our API with their product, and any supplementary notebooks they choose to add to showcase their functionality.

Guides & deep dives