ErenYanic/SEC-SemanticSearch

Natural language search for SEC filings. Fetch 10-K/10-Q from EDGAR, parse into segments, chunk text, generate GPU-accelerated embeddings (google/embeddinggemma-300m, 768-dim), store in ChromaDB+SQLite dual-store. Rich CLI with progress bars, color-coded output, flexible filtering. Returns relevant passages not generated answers. MIT licensed.

22
/ 100
Experimental
No Package No Dependents
Maintenance 13 / 25
Adoption 0 / 25
Maturity 9 / 25
Community 0 / 25

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Language

Python

License

MIT

Category

financial-document-rag

Last pushed

Mar 11, 2026

Commits (30d)

0

GitHub
Financial Document RAG · 28 tools

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