ksilenteye/Context-Aware-Customer-Support

A sophisticated Retrieval Augmented Generation (RAG) customer service chatbot combining FastAPI backend, Pinecone vector database, Groq LLM inference, and Streamlit frontend. Features intelligent agentic decision-making, multi-format document support, real-time streaming responses, and conversation memory.

11
/ 100
Experimental
No License No Package No Dependents
Maintenance 6 / 25
Adoption 0 / 25
Maturity 5 / 25
Community 0 / 25

How are scores calculated?

Stars

—

Forks

—

Language

Python

License

—

Category

rag-applications

Last pushed

Dec 08, 2025

Commits (30d)

0

GitHub
Rag Applications · 169 tools

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/rag/ksilenteye/Context-Aware-Customer-Support"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

RapidAI/RapidRAG

QA based on local knowledge and LLM.

57

benitomartin/substack-newsletters-search-course

Production RAG System Course

53

LHRLAB/HyperGraphRAG

[NeurIPS 2025] Official resources of "HyperGraphRAG: Retrieval-Augmented Generation via...

48

liweiphys/layra

LAYRA—an enterprise-ready, out-of-the-box solution—unlocks next-generation intelligent systems...

48

limanmys/sef

On premise enterprise-grade RAG-powered agentic workflow chatbot platform with multi-provider support

46

Explore RAG Tools

All categories Trending RAG directory Insights