Enterprise RAG ecosystem managing 32000+ semantic chunks. Features hybrid parsing (LlamaParse/PyMuPDF) and 256-dim MRL embeddings for 512MB RAM environments
Parse and analyze complex financial and legal documents using an automated system that understands your queries.
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Free · no card · unsubscribe anytimeEnterprise RAG ecosystem managing 32000+ semantic chunks. Features hybrid parsing (LlamaParse/PyMuPDF) and 256-dim MRL embeddings for 512MB RAM environments
agentic-rag-financial-parser has 106 stars on GitHub. It has been forked 30 times. agentic-rag-financial-parser is written mainly in Python. It has been in active development since 2026. agentic-rag-financial-parser is available under the AGPL-3.0 license. Its main topics are agentic-rag, fastapi, genai, langgraph.
Enterprise RAG ecosystem managing 32000+ semantic chunks. Features hybrid parsing (LlamaParse/PyMuPDF) and 256-dim MRL embeddings for 512MB RAM environments
agentic-rag-financial-parser is an open-source project. It is released under the AGPL-3.0 license.
Yes. agentic-rag-financial-parser is free and open source — you can use, modify and self-host it. Its AGPL-3.0 license is a strong copyleft: if you distribute a modified version — including offering it as a network service — your changes must be released under the same license.
agentic-rag-financial-parser is available under the AGPL-3.0 license.
agentic-rag-financial-parser is written mainly in Python.
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