philippgille/chromem-go
An embeddable, in-memory vector database for Go providing similarity search and retrieval for AI/LLM applications.

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The project provides a Chroma-like vector database interface embedded directly in Go applications without requiring a separate database server. It supports cosine similarity search, nearest-neighbor retrieval, and optional persistence. The focus is on simplicity and performance for RAG and embeddings-based features in LLM applications rather than massive scale.