vishvatech23/rag-qdrant-pipeline
Retrieval-Augmented Generation (RAG) pipeline using FastAPI, Sentence Transformers, and Qdrant for semantic document retrieval.
Stars
—
Forks
—
Language
Python
License
MIT
Category
Last pushed
Oct 30, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/vishvatech23/rag-qdrant-pipeline"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ThomasJButler/Morpheus
An intelligent document reasoning system with a Matrix-themed interface.
Cerno-AI/Cerno-Insight
High-performance RAG system for intelligent document Q&A with hybrid retrieval, GPU...
kaumnen/lumen
Leveraging RAG, MCPs and Amazon Nova LLMs for Efficient AWS Documentation Queries
elcaiseri/Survey-Analysis-RAG-System
A web application using Retrieval-Augmented Generation (RAG) to analyze and compare survey...
qingni/rag-pipeline-hub
Full-stack RAG platform for document loading, smart chunking, embedding, indexing, hybrid...