Multi-step prompt sequences for complex AI workflows.
57 tools found
An OpenAI Cookbook walkthrough of embedding data and indexing it in Pinecone with title/content namespaces for production-capable similarity search.
OpenAI cookbook for storing OpenAI embeddings in Qdrant and running payload-filtered nearest-neighbor search.
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.
OpenAI Cookbook notebook: run hybrid vector + BM25 search in Weaviate with automatic OpenAI vectorization.
Walkthrough for setting up Weaviate with OpenAI's vectorizer and Q&A modules to answer questions over your own data.
Notebook combining OpenAI embeddings with Zilliz metadata filtering to search over 8,000+ movie descriptions.
Promptfoo example comparing GPT, Claude, Llama, and Mistral models side by side on Azure AI Foundry.
