benitomartin/crewai-rag-langchain-qdrant
Collaborative Multi-Agent RAG with CrewAI
This project helps researchers and students quickly understand complex research papers. It takes a PDF research paper as input and outputs a detailed analysis and a concise summary, making it easier to grasp the key findings without reading the entire document. A computer science student or researcher would use this to save time reviewing new publications.
No commits in the last 6 months.
Use this if you need to rapidly analyze and summarize academic or scientific research papers, especially in computer science.
Not ideal if your primary goal is general document summarization outside of academic research papers or if you need to extract specific data points rather than a conceptual overview.
Stars
73
Forks
13
Language
Jupyter Notebook
License
—
Category
Last pushed
May 19, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/benitomartin/crewai-rag-langchain-qdrant"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
neural-maze/philoagents-course
When Philosophy meets AI
FareedKhan-dev/agentic-guardrails
Layered guardrails to make agentic AI safer and more reliable.
alexnodeland/crewlit
🚣 Crewlit brings the power of CrewAI to your browser, making multi-agent AI systems accessible...
techwithaijack-beep/enterprise-ai-agent-blueprint
Production-ready reference architecture, checklists, and templates for enterprise AI agent systems
natnew/Multi-AI-Agent-Systems
Multi AI Agent Systems with crewAI