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A lightweight, fully local Retrieval-Augmented Generation (RAG) system for querying SEC 10-K filings. Built with MiniLM embeddings, FAISS vector search, and Ollama (llama3.2), it enables tool-augmented reasoning for search, calculation, and comparison—designed for learning, experimentation,…
A lightweight, fully local Retrieval-Augmented Generation (RAG) system for querying SEC 10-K filings. Built with MiniLM embeddings, FAISS vector search, and Ollama (llama3.2), it enables tool-augmented reasoning for search, calculation, and comparison—designed for learning, experimentation,…
Source: GitHub API · observed Oct 11, 2026. Stars and forks are recorded counts. Repository code licenses may differ from dataset or model-weight licenses.
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