agentic-rag-for-dummies
Enrichment pendingA modular Agentic RAG built with LangGraph, learn Retrieval-Augmented Generation Agents in minutes.
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Maintenance and security
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Install
git clone https://github.com/GiovanniPasq/agentic-rag-for-dummiesSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
Capability facts
- Languages
- jupyter notebook
Source: github.language · Jul 15, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 15, 2026)
```python from langchain_ollama import ChatOllamaSource link
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README
Install Ollama from https://ollama.com
ollama pull granite4.1:8b
```python
from langchain_ollama import ChatOllama
llm = ChatOllama(model="granite4.1:8b", temperature=0, seed=42)
⚠️ For reliable tool calling and instruction following, prefer models 8B+. Smaller models may ignore retrieval instructions or hallucinate. See Troubleshooting.
Installation & Usage
Sample pdf files can be found here: javascript, blockchain, fortinet.
Option 3: Docker Deployment
See project/README.md for full Docker instructions and system requirements.
For agents
This page has a .md twin and JSON over the API.