ChromaDB RAG Systems Embedding Tools

RAG implementations using ChromaDB as the vector database backend. Includes ChromaDB integrations, CLI tools, and RAG pipelines built on ChromaDB. Does NOT include RAG systems using other vector databases (Qdrant, Pinecone, etc.) or general RAG frameworks agnostic to the database choice.

There are 9 chromadb rag systems tools tracked. The highest-rated is LLM-Implementation/private-rag-embeddinggemma at 39/100 with 11 stars.

Get all 9 projects as JSON

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#	Tool	Score	Tier	Stars	Language
1	LLM-Implementation/private-rag-embeddinggemma 🔒 100% Private RAG Stack with EmbeddingGemma, SQLite-vec & Ollama - Zero...	39	Emerging	11	Jupyter Notebook
2	kreuzberg-dev/kreuzberg-surrealdb Extract, chunk, and embed documents from 88+ formats directly into SurrealDB.	33	Emerging	3	Python
3	Vatsal-Founder/Hybrid-Search-with-LangChain-and-Pinecone Hybrid search RAG system combining BM25 sparse + dense embeddings via...	21	Experimental	—	Python
4	perzeuss/strapi-plugin-embeddings A Strapi plugin for embedding support, utilizing Chroma as the database for...	19	Experimental	3	TypeScript
5	CL-lau/chroma-plus the AI-native open-source embedding database for plus	17	Experimental	1	Python
6	AmanPriyanshu/YC-Dendrolinguistics Cultivating linguistic forests from YC startup pitches using bio-inspired...	17	Experimental	1	HTML
7	poacosta/chromadb-document-embedder A streamlined Python utility for embedding document collections into...	13	Experimental	—	Python
8	moones29/Rag_init 📄 Implement a RAG pipeline to query PDFs using Hugging Face embeddings,...	13	Experimental	—	Jupyter Notebook
9	tristan-mcinnis/gemma3_ollama_chromadb_rag Gemma3 Rag with ChromaDB RAG Nomic Embed Text embeddings	11	Experimental	—	Python