ralliesai/tenk
📦 Open Source Projectralliesai
An AI-powered RAG tool for querying and analyzing SEC filings to answer complex investment questions.
Tenk is a specialized RAG (Retrieval-Augmented Generation) framework built in Python, specifically engineered to parse and analyze SEC filings. It addresses the challenge of navigating massive, complex financial documents by providing a conversational interface for data extraction. The tool automates the ingestion and retrieval of regulatory data, allowing users to ask natural language questions about company performance, risk factors, and financial health as disclosed in 10-K and 10-Q reports.
Technically, Tenk utilizes advanced document indexing and retrieval pipelines to ensure that answers are grounded in official filings. This reduces the risk of hallucinations common in general-purpose LLMs when dealing with highly specific financial data. It is designed for developers and financial analysts who need to build custom investment research workflows, offering a modular approach to integrating SEC data into AI-driven analysis tools.
💡Highlights
- ├─RAG-based SEC filing analysis
- ├─Natural language financial queries
- └─Python-based modular architecture
🎯For
- ├─Financial Analysts
- ├─Fintech Developers
- └─Retail Investors