autonomous-agentic-rag and agentic-rag
These appear to be **successive iterations by the same author**, where the second project (B) is a refined or production version of the first (A), making them **competitors in the sense that B supersedes A** — users would choose one or the other rather than use both together.
About autonomous-agentic-rag
FareedKhan-dev/autonomous-agentic-rag
Self improving agentic rag pipeline
This project helps healthcare professionals, researchers, or data scientists efficiently generate comprehensive, multi-source documents by processing various medical data types like scientific literature, regulatory guidelines, and clinical datasets. It takes a high-level query or concept as input and produces optimized, multi-source documents and insights, allowing human decision-makers to choose the best strategies. The system continuously refines its own processes for improved accuracy and relevance.
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.
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