agentic-rag-for-dummies and deep-thinking-rag

These are ecosystem siblings: one provides a foundational, modular agentic RAG framework optimized for learning and implementation, while the other extends that paradigm with advanced reasoning capabilities (deep thinking) for handling more complex query resolution.

agentic-rag-for-dummies
64
Established
deep-thinking-rag
50
Established
Maintenance 17/25
Adoption 10/25
Maturity 15/25
Community 22/25
Maintenance 6/25
Adoption 10/25
Maturity 13/25
Community 21/25
Stars: 2,743
Forks: 383
Downloads:
Commits (30d): 11
Language: Jupyter Notebook
License: MIT
Stars: 115
Forks: 40
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No Package No Dependents
No Package No Dependents

About agentic-rag-for-dummies

GiovanniPasq/agentic-rag-for-dummies

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

This project helps developers build advanced AI assistants that can intelligently answer questions using custom data. It takes your documents (like PDFs or Markdown files) and processes them into a searchable format, then uses an AI to interpret user questions, find relevant information, and generate clear, coherent answers. It's designed for AI developers or data scientists who want to create sophisticated conversational agents.

AI-development conversational-AI information-retrieval large-language-models agent-systems

About deep-thinking-rag

FareedKhan-dev/deep-thinking-rag

A Deep Thinking RAG Pipeline to Solve Complex Queries

This project helps anyone who needs to get comprehensive answers to complex questions by sifting through multiple sources like internal documents and the web. You provide a challenging query, and it returns a detailed, well-researched answer, complete with citations. This tool is for researchers, analysts, or anyone who frequently tackles multi-faceted inquiries.

research-analysis knowledge-retrieval information-synthesis complex-query-resolution

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