README
¶
ChromaDB — RAG with ChromaDB
Interactive RAG chat with ChromaDB as a vector store. The collection is created automatically on first run.
Quick start
1. Start ChromaDB:
docker compose up -d
2. Run the example:
cd examples/chromadb && cp .env.example .env && go run .
For mock mode this is sufficient. For a real LLM, set LLM_PROVIDER=ollama|openai|anthropic and the corresponding keys.
Environment variables
| Variable | Default | Description |
|---|---|---|
LLM_PROVIDER |
mock |
LLM provider (mock, ollama, openai, anthropic) |
EMBEDDING_DIM |
1536 |
Vector dimension |
CHROMADB_URL |
http://localhost:8000 |
ChromaDB server URL |
COLLECTION_NAME |
draftrag_chunks |
Collection name |
Tutorial
Detailed guide on working with ChromaDB and metadata — tutorial 04: Metadata Filter.
Documentation
Source Files
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