Maryam-Nasseri/RAG-based-AI-Agents
Retrieval Augmented Generation-based Agentic CrewAI
This project helps AI developers build small, focused AI agent teams for specific tasks. It takes local data (like a CSV file) and uses it to provide relevant context for AI agents, allowing them to generate more accurate and helpful responses. Developers would use this to quickly set up and test AI agent workflows that need to access specific, private information.
No commits in the last 6 months.
Use this if you are an AI developer looking to quickly prototype a small team of AI agents that can use your own local data to answer questions or complete tasks.
Not ideal if you need a large-scale, production-ready AI agent system with complex data integration or require non-sequential task execution for highly interdependent agents without further customization.
Stars
25
Forks
6
Language
Python
License
—
Category
Last pushed
Nov 10, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/Maryam-Nasseri/RAG-based-AI-Agents"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
deepsense-ai/ragbits
Building blocks for rapid development of GenAI applications
infiniflow/ragflow
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses...
GiovanniPasq/agentic-rag-for-dummies
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
truefoundry/cognita
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications...
vectara/py-vectara-agentic
A python library for creating AI assistants with Vectara, using Agentic RAG