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#vector-search (4)

Concepts (1)

Retrieval-Augmented Generation (RAG)

Grounding LLM responses in chunks retrieved from an external corpus so the model reasons over real, citable sources instead of parametric memory alone.
llm vector-search ai grounding embeddings hallucination evaluation web-researched

Cheat sheets (3)

chromadb — Embedded Vector Database

Package-level reference for chromadb on PyPI — install variants, server/client split, embedding-function extras, and alternative vector stores.
pip package ai vector-search rag embeddings

qdrant-client — Python Client for Qdrant

Package-level reference for qdrant-client on PyPI — install variants, server version matching, gRPC vs HTTP, fastembed extras, and alternatives.
pip package ai vector-search rag embeddings

weaviate-client — Python Client for Weaviate

Package-level reference for weaviate-client on PyPI — install variants, the v3 → v4 API split, gRPC, and alternative vector stores.
pip package ai vector-search rag embeddings