You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
openai-cookbook/examples/vector_databases
Fayaz Rahman 24b7a8e9b9
Add Deep Lake vector database example (#455)
9 months ago
..
PolarDB Add getting started with PolarDB vector database and OpenAI example. (#489) 11 months ago
SingleStoreDB Adding SingleStoreDB as a vector database with Python notebook (#402) 1 year ago
analyticdb Fix typo in QA_with_Langchain_AnalyticDB_and_OpenAI.ipynb (#582) 11 months ago
azuresearch Minor change to use SearchIndexingBufferedSender to support optimized batch indexing (#712) 9 months ago
cassandra_astradb new cassIO connect experience with the newest cassio.init (#745) 9 months ago
chroma Update notebooks (#598) 11 months ago
deeplake Add Deep Lake vector database example (#455) 9 months ago
elasticsearch [elasticsearch] fix typo in signup url (#726) 9 months ago
hologres Add Hologres as a vector database with python notebook example (#404) 1 year ago
kusto kusto vector sample added 1 year ago
milvus Zilliz integration and Milvus bugfixes (#259) 1 year ago
myscale Splitting Vector Databases into individual cookbooks (#529) 12 months ago
neon Update Neon cookbook README.md (#747) 9 months ago
pinecone consolidate Embedding.create calls into one (#543) 11 months ago
qdrant Refactor Qdrant notebooks (#556) 12 months ago
redis Fix typo in redis-hybrid-query-examples.ipynb (#642) 10 months ago
tair Add Tair to examples of vector database (#609) 9 months ago
typesense Splitting Vector Databases into individual cookbooks (#529) 12 months ago
weaviate Splitting Vector Databases into individual cookbooks (#529) 12 months ago
zilliz update to token for zilliz (#552) 12 months ago
README.md Add Neon Postgres to the list of vector databases in the README (#746) 9 months ago

README.md

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