ChromaDB is an embedding database for building search and retrieval systems.

How I use it

I chunk documentation (VyOS, Hugo) into paragraphs, embed them with nomic-embed-text via Ollama, and store the vectors in ChromaDB for semantic search.

Stack

Documents → Chunker → Ollama embeddings → ChromaDB → Query API

Key concepts

• Collection: a named group of embeddings (like a table).
• Document: the raw text stored alongside the vector.
• Metadata: key-value pairs for filtering results.