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
..
PolarDB
SingleStoreDB
analyticdb
azuresearch
cassandra_astradb
chroma
deeplake
elasticsearch
hologres
kusto
milvus
myscale
neon
pinecone
qdrant
redis
tair
typesense
weaviate
zilliz
README.md

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