deep-thinking-rag and agentic-rag

deep-thinking-rag
50
Established
agentic-rag
50
Established
Maintenance 6/25
Adoption 10/25
Maturity 13/25
Community 21/25
Maintenance 2/25
Adoption 10/25
Maturity 15/25
Community 23/25
Stars: 115
Forks: 40
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 198
Forks: 67
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

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

About agentic-rag

FareedKhan-dev/agentic-rag

Agentic RAG to achieve human like reasoning

This project helps financial analysts and researchers to deeply understand complex financial documents like SEC filings. It takes unstructured documents (10-K, 10-Q, 8-K reports) and processes them to generate structured insights, summaries, and trend analyses, mimicking how a human expert would reason and connect information. The output is a comprehensive, validated understanding of the data, going beyond simple fact retrieval.

financial-analysis market-research regulatory-compliance investment-due-diligence enterprise-search

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