FareedKhan-dev/agentic-rag

Agentic RAG to achieve human like reasoning

/ 100

Established

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.

198 stars. No commits in the last 6 months.

Use this if you need to extract nuanced insights, identify trends, and understand the 'why' behind information in lengthy, complex documents rather than just finding simple answers.

Not ideal if you only need quick fact lookups or simple summaries from short, well-structured texts.

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

Stale 6m No Package No Dependents

Maintenance 2 / 25

Adoption 10 / 25

Maturity 15 / 25

Community 23 / 25

How are scores calculated?

Stars

198

Forks

Language

Jupyter Notebook

License

MIT

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agentic-rag and ragbits agentic-rag and agentic-rag-for-dummies agentic-rag and cognita agentic-rag and Agentic-RAG-R1 agentic-rag and context-aware-rag agentic-rag and Controllable-RAG-Agent agentic-rag and autonomous-agentic-rag agentic-rag and deep-thinking-rag agentic-rag and Awesome-RAG-Reasoning

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