ralliesai/tenk
Chat with SEC filings for any investment question
Implements RAG over SEC filings using a local DuckDB vector store with sentence-transformers embeddings, automatically fetching documents from SEC EDGAR and chunking them for semantic search. Generates cited answers via OpenAI's API while supporting multi-filing comparison, web search augmentation, and export to PDF/DOCX/Excel formats. Maintains conversation memory with auto-summarization for extended analysis sessions.
129 stars.
Stars
129
Forks
19
Language
Python
License
—
Category
Last pushed
Dec 13, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/ralliesai/tenk"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ZhuLinsen/daily_stock_analysis
LLM驱动的 A/H/美股智能分析器，多数据源行情 + 实时新闻 + Gemini 决策仪表盘 + 多渠道推送，零成本，纯白嫖，定时运行
derisk-ai/OpenDerisk
AI-Native Risk Intelligence Systems, OpenDeRisk——Your application system risk intelligent...
johnsonhk88/AI-Bank-Statement-Document-Automation-By-LLM-And-Personal-Finanical-Analysis-Prediction
AI Bank Statement Document Automation By LLM model and Personal Finanical Analysis
FaustoS88/Pydantic-AI-Pinescript-Expert
PineScript Expert: A Retrieval-Augmented Generation (RAG) agent using Pydantic AI that provides...
RUC-NLPIR/FinSight
FinSight: Towards Real-World Financial Deep Research. 🎯One ticker, one click, one...