Developing a RAG-powered chatbot for CreditTrust Financial that analyzes customer complaints across five financial products. The AI tool retrieves relevant complaint narratives using semantic search and generates actionable insights, helping product managers identify trends faster. Built with Python, LangChain, FAISS/ChromaDB, and Gradio/Streamlit.

Finbot is an AI-powered financial chatbot designed to analyse and provide insights on corporate financial performance from 10-K and 10-Q financial documents. This tool leverages langchain and RAG to make complex financial data easily accessible and understandable through a conversational interface.

A chatbot for personalized financial advice, tracking spending, and providing investment information, powered by RAG and built with Langchain, OpenAI, Google Generative AI, and Hugging Face APIs.

FinVerse is a GenAI-powered financial RAG (Retrieval-Augmented Generation) chatbot assistant. It helps users get instant answers to finance-related queries using advanced LLMs. Includes secure Google Authentication for login and sign-up. Built to simplify financial guidance with smart, conversational AI.

An intelligent financial advisor chatbot powered by LLaMA-3, built with LangGraph for structured reasoning, RAG from The Intelligent Investor PDF, and real-time data from Yahoo Finance and DuckDuckGo. The system dynamically orchestrates tools, handles fallbacks, and maintains conversation memory.

Alcon Financial Analysis: An interactive dashboard showcasing dynamic financial metrics, KPIs, and competitor comparisons. Powered by a RAG-based chatbot for real-time insights from financial reports and industry data, enabling data-driven decisions and strategic market positioning for Alcon.

Intelligent Complaint Analysis for Financial Services. RAG-Powered Chatbot to Turn Customer Feedback into Actionable Insights

A RAG-powered chatbot for financial fraud prevention and security, featuring a local knowledge base, live web search, and customizable response modes.

A chatbot for personalized financial advice, tracking spending, and providing investment information, powered by RAG and built with Langchain, OpenAI, Google Generative AI, and Hugging Face APIs.

A RAG-based chatbot for financial analysis of Microsoft, Apple, and Tesla.

RAG-powered complaint analysis chatbot for financial services

AI-powered chatbot for financial documents using RAG and Claude

An open/closed LLM powered RAG based chatbot using Financial Reports for query retrievals.

Ada Lovelace is a RAG-powered AI finance chatbot that connects Claude's reasoning to live financial data pipelines.

AI-powered Financial Document RAG Chatbot using FAISS and Gemini 2.5 Flash for precise numeric extraction and context-aware responses.

RAG-powered AI chatbot for CrediTrust Financial that transforms unstructured customer complaint data into actionable insights using semantic search and LLMs.

FinChat is an LlamaIndex-powered financial investment chatbot that combines RAG, time-series feature engineering, and LightGBM to deliver automated, scalable insights and natural-language investment reports from million-scale financial data.

This repository contains the implementation of a Retrieval-Augmented Generation (RAG)-based financial chatbot powered by ChatGPT-3.5 Turbo. The chatbot is designed to answer user queries based on financial reports (e.g., quarterly, annual reports) with high contextual relevance, accuracy, and actionable insights.

A RAG-powered AI chatbot for CrediTrust Financial to analyze customer complaints. Transforms unstructured feedback into actionable insights, helping product, support, and compliance teams quickly identify trends and issues.

A smart financial advisory chatbot powered by Retrieval-Augmented Generation (RAG), combining ChromaDB, FAISS, and the Gemini API to deliver real-time, personalized investment recommendations based on user preferences.

RAG powered chatbot that transforms raw customer complaints into actionable insights for internal product, support, and compliance teams at CrediTrust Financial. Built with LangChain, FAISS/Chroma, and open-source LLMs, this system enables fast, evidence-backed analysis of real-world pain points across five financial services.

FinChat is a Gradio-based chatbot that combines RAG-powered financial education with real-time stock analysis. It uses FAISS + local LLM for answering finance concepts, and yfinance + TA indicators for stock insights with automated buy/sell decisions.

A full-stack AI-powered Financial ChatBot that analyzes PDFs financial documents, enabling users to ask natural-language questions and receive accurate insights. Built with React, Node.js, MongoDB, and a Python RAG pipeline using FAISS and Google Gemini. Ensures 100% local processing, zero cloud cost, and privacy-focused document handling.

Stock Market Analyzer Chatbot is a GenAI-powered tool that provides real-time stock insights using LLMs like Gemma 2 9B and LLaMA 3.3 70B. Integrated with the Finnhub API and deployed on Streamlit, it enables users to query stock trends and data through natural language, delivering accurate, context-aware financial analysis using RAG architecture.

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FinSage AI — RAG powered financial chatbot

RAG-Powered Chatbot for Legal/Medical/Financial Documents

RAG-powered chatbot for CrediTrust Financial complaint analysis

An offline AI-powered Financial Chatbot built using LangChain, FAISS, and Streamlit. It answers questions from annual reports using a RAG pipeline. Users can choose preloaded company reports or upload their own PDFs. Powered by Mistral LLM via Ollama. No API keys needed.

A RAG-Powered Reliable Chatbot for Financial Regulatory Compliance