apsinghAnalytics/FinRAGify_App
An LLM app leveraging RAG with LangChain and GPT-4 mini to analyze earnings call transcripts, assess company performance, using natural language queries (NLP), FAISS (vector database), and Hugging Face re-ranking models.
No commits in the last 6 months.
Stars
2
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Aug 28, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/apsinghAnalytics/FinRAGify_App"
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...