AI4Finance-Foundation/FinRAG
FinRAG: Financial Retrieval Augmented Generation
This project helps financial professionals get precise answers to complex financial questions by allowing them to chat with their internal financial documents. You provide your proprietary financial data, and the system processes it to deliver accurate, context-aware responses to your queries. This is ideal for financial analysts, traders, or portfolio managers who need to quickly extract insights from large volumes of internal financial texts.
No commits in the last 6 months. Available on PyPI.
Use this if you need to quickly and accurately find specific information or generate summaries from your own financial reports, market research, or internal company documents.
Not ideal if you are looking for general market analysis or public financial news, as this tool is designed for querying your private, internal financial knowledge base.
Stars
38
Forks
6
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 28, 2024
Commits (30d)
0
Dependencies
19
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