WanzhenLi/FinDocs-RAG

Question answering over financial filings (10-K/10-Q, investor decks) with cited answers: hybrid dense+BM25 retrieval, reranking, chart extraction, and an AST-sandboxed calculator. FastAPI, CLI, Helm.

AI-Powered Chatbot for Financial Legal Document Analysis

A real world full-stack application using LlamaIndex

Enterprise RAG ecosystem managing 32000+ semantic chunks. Features hybrid parsing (LlamaParse/PyMuPDF) and 256-dim MRL embeddings for 512MB RAM environments

Upload your files and ask questions about them. Open-source RAG app with LangChain & Streamlit, built before ChatGPT had file uploads. Works with Anthropic & OpenRouter. Easy to extend. The newest release is a functioning tribute and future development ideas are in consideration.

AI Bank Statement Document Automation By LLM model and Personal Finanical Analysis

RAG ReAct Agent - A Retrieval-Augmented Generation system with ReAct (Reasoning+Acting) agent loop for intelligent question answering with multi-hop reasoning

The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

Retrieval of fully structured data made easy. Use LLMs or custom models. Specialized on PDFs and HTML files. Extensive support of tabular data extraction and multimodal queries.