zilliztech/akcio
Akcio is a demonstration project for Retrieval Augmented Generation (RAG). It leverages the power of LLM to generate responses and uses vector databases to fetch relevant documents to enhance the quality and relevance of the output.
260 stars. No commits in the last 6 months.
Stars
260
Forks
40
Language
Python
License
—
Category
Last pushed
Nov 20, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/zilliztech/akcio"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
watat83/document-chat-system
Open-source document chat platform with semantic search, RAG (Retrieval Augmented Generation),...
amscotti/local-LLM-with-RAG
Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)
ranfysvalle02/Interactive-RAG
An interactive RAG agent built with LangChain and MongoDB Atlas. Manage your knowledge base,...
ChatFAQ/ChatFAQ
Open-source ecosystem for building AI-powered conversational solutions using RAG, agents, FSMs, and LLMs.
MFYDev/odoo-expert
RAG-powered documentation assistant that converts, processes, and provides semantic search...