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financial-rag
mlanvvs/financial-rag
financial-rag is a text generation model from mlanvvs. Use it when you need the model to write or continue text. The card lists the license as mit.
This repository documents a Financial Retrieval-Augmented Generation system for answering questions over SEC 10-K and 10-Q filings.
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Updated Jun 10, 2026
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At a glance
- Task
- Text Generation
- License
- mit
- Access
- Public
- Created
- Jun 10, 2026
- Updated
- Jun 10, 2026
- SHA
- f3f3c88c
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Model card
From the Hugging Face model README
Financial RAG System
This repository documents a Financial Retrieval-Augmented Generation system for answering questions over SEC 10-K and 10-Q filings.
Live demo: https://huggingface.co/spaces/anasxs/financial-rag
GitHub: https://github.com/Anassbzdd/financial-RAG
System Overview
This is not a fine-tuned language model. It is a RAG system that combines document parsing, chunking, vector retrieval, keyword retrieval, reranking, and grounded answer generation.
The system answers questions using indexed SEC filings from:
- Apple
- Amazon
- Alphabet
- Berkshire Hathaway
- Johnson and Johnson
Architecture
SEC filings
-> LlamaParse markdown extraction
-> Recursive text chunking
-> BGE embeddings
-> ChromaDB vector search
-> BM25 keyword search
-> Reciprocal Rank Fusion
-> Cross-encoder reranking
-> Groq LLM generation
-> Gradio UI
- Task
- Text Generation
- License
- mit
- Languages
- en
- Created
- Jun 10, 2026
- Updated
- Jun 10, 2026