axiom-llc/rag-pipeline
RAG pipeline: ingest, embed (Gemini gemini-embedding-001), retrieve (ChromaDB cosine), generate (Gemini 2.5 Flash). Context-grounded answers only. CLI + Flask REST API. Python 3.11+.
Stars
1
Forks
—
Language
Python
License
MIT
Category
Last pushed
Mar 07, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/axiom-llc/rag-pipeline"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Higher-rated alternatives
LongxingTan/open-retrievals
All-in-One: Text Embedding, Retrieval, Reranking and RAG in Transformers
axiom-llc/axiom-rag
Production RAG pipeline — grounded retrieval, source-cited answers, Precision@k + MRR eval. CLI...
ereztdev/RAGOps
AI powered troubleshooting for ground support equipment. Deterministic RAG pipeline that ingests...
AdnanSattar/Spatial-RAG
A production-ready full-stack system that combines semantic search with spatial proximity to...
shivamsanju/ragswift
🚀 Scale your RAG pipeline using Ragswift: A scalable centralized embeddings management platform