leemark/answer_engine
combines web search, Retrieval-Augmented Generation (RAG), reflection, summarization, and follow-up question generation to provide comprehensive answers to user queries
No commits in the last 6 months.
Stars
8
Forks
1
Language
Python
License
—
Category
Last pushed
Mar 13, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/leemark/answer_engine"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
JGalego/RAGmap
A simple Streamlit application to visualize document chunks and queries in embedding space 🗺️🔍
noi-techpark/stuart-chatbot
Stuart is simple RAG System, that the Open Data Hub uses as a chatbot to help the Open Data Hub...
Uni-Creator/RAG-MultiFile-QA
A RAG (Retrieval-Augmented Generation) AI chatbot that allows users to upload multiple document...
workcontrolgit/ChatPDF-Ollama
Building a PDF Chat App with RAG in .NET Using Local Ollama
Violet-sword/Deep-Knowledge-Chatbot
A Python project that deploys a Local RAG chatbot using Ollama API. Refines answers with Deep...