Multi-step prompt sequences for complex AI workflows.
32 tools found
OpenAI cookbook demo flow for embedding data and indexing/searching it in a local Qdrant instance with payload metadata.
OpenAI cookbook demo flow for embedding data and running vector plus hybrid search in Redis with RediSearch.
An intro OpenAI Cookbook notebook to Redis as a vector database - deployment options, index creation, and the FLAT vs HNSW tradeoff.
OpenAI cookbook running hybrid vector-plus-lexical search queries on Redis with an e-commerce OpenAI-embedded dataset.
A notebook using Tair, Alibaba Cloud's in-memory vector database, to store and nearest-neighbor search OpenAI embeddings.
OpenAI cookbook demo flow for indexing and searching OpenAI embeddings in a self-hosted Weaviate instance.
OpenAI cookbook using Weaviate's text2vec-openai module to auto-vectorize and semantically search unvectorized data.
Notebook combining OpenAI embeddings with Zilliz metadata filtering to search over 8,000+ movie descriptions.