Show HN: Built a tool to allow chatting with SEC filings (github.com)

A new tool called "tenk" has been launched, enabling users to interactively query SEC filings such as 10-K and 10-Q reports using natural language. This innovative application eliminates the cumbersome process of manually reading through extensive filings by allowing users to ask specific questions and receive answers backed with citations directly from the documents. It not only downloads and indexes filings from the SEC EDGAR database but also supports searching across multiple filings, providing a more efficient way to analyze financial data. The significance of tenk lies in its potential to streamline due diligence and financial analysis for investors, analysts, and researchers in the AI/ML community. By leveraging a local vector database and employing semantic search capabilities, it enhances the user's ability to quickly extract crucial information, compare companies, and generate exportable financial reports—all while offering features like conversation memory for context-aware questions. This tool represents a significant step towards making complex financial data more accessible and manageable, with the added bonus of automation that saves time and improves accuracy.