openai-cookbook/examples/vector_databases
2023-07-20 20:20:04 -07:00
..
analyticdb Fix typo in QA_with_Langchain_AnalyticDB_and_OpenAI.ipynb (#582) 2023-07-12 12:28:14 -07:00
chroma Splitting Vector Databases into individual cookbooks (#529) 2023-06-28 01:37:01 -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
myscale Splitting Vector Databases into individual cookbooks (#529) 2023-06-28 01:37:01 -07:00
pinecone consolidate Embedding.create calls into one (#543) 2023-07-20 20:20:04 -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 Splitting Vector Databases into individual cookbooks (#529) 2023-06-28 01:37:01 -07:00
SingleStoreDB Adding SingleStoreDB as a vector database with Python notebook (#402) 2023-05-22 16:05:50 -07:00
typesense Splitting Vector Databases into individual cookbooks (#529) 2023-06-28 01:37:01 -07:00
weaviate Splitting Vector Databases into individual cookbooks (#529) 2023-06-28 01:37:01 -07:00
zilliz update to token for zilliz (#552) 2023-06-27 12:53:26 -07:00
README.md fix markdown typo on a link (#591) 2023-07-17 15:53:44 -07:00

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