ibm-granite-community/granite-retrieval-agent
Build Research and Rag agents with Granite on your laptop
Implements multi-agent RAG systems using Granite 4's hybrid Mamba-2/Transformer architecture, which achieves ~70% lower memory use and 2× faster inference than comparable models for local deployment. Provides two distinct agent frameworks: Autogen/AG2 for document and web retrieval, and CrewAI for image-based research with vision capabilities. Integrates with Ollama for model serving and Open WebUI for chat interfaces, with optional SearXNG integration for web search.
152 stars.
Stars
152
Forks
50
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 07, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/ibm-granite-community/granite-retrieval-agent"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
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...
NVIDIA/context-aware-rag
Context-Aware RAG library for Knowledge Graph ingestion and retrieval functions.