financial RAG
github.comPublic repository by yashwanthreddy7178. Primary language: Python.
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Public repository by yashwanthreddy7178. Primary language: Python.
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This repository contains notes, assignments, and projects for the AI Camp 7-Day LLM challenge lead by Candice You.
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A Retrieval-Augmented Generation (RAG) application for financial data analysis using DeepSeek LLM, built with Streamlit and powered by LangChain.
This repo contains financial workshop notebooks for demonstrating Redis capabilities for different RAG scenarios
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RAG chatbot for SEC 10-K filings with line-level citations. FastAPI + ChromaDB + Claude/OpenAI. Eval harness with Claude Opus judge.
Evaluation-driven financial RAG assistant with hybrid retrieval, citations, groundedness checks, and audit logging.
FinRAG - Financial RAG Chatbot, for large financial statement tables analysis with GPT-4o
Financial RAG assistant that allows users to query company annual reports and get insights using a language model.
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Retrieval-Augmented Generation (RAG) system for precise financial query handling. This project, developed from scratch, utilizes advanced NLP techniques to deliver context-aware answers from financial…
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A Retrieval-Augmented Generation (RAG) system for financial data analysis and question-answering, built with Streamlit
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financial RAG application
A production-grade financial RAG engine. Features Hybrid Search (Dense+Sparse), Cross-Encoder Reranking, and On-Device OCR for intelligent receipt analysis.
🚀 Multimodal Financial RAG using LangChain, LLaMA 3.3–70B (text), LLaMA 3.2–11B Vision (image), Whisper (audio), and Weaviate. Enables intelligent Q&A over financial reports, charts,…
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A lightweight, fully local Retrieval-Augmented Generation (RAG) system for querying SEC 10-K filings. Built with MiniLM embeddings, FAISS vector search, and Ollama (llama3.2), it…
Financial Intelligence RAG System — semantic caching, anti-hallucination, confidence scoring & query rewriting built with FastAPI + LangChain + FAISS
Hybrid retrieval-augmented generation(RAG) pipeline for financial document.
Production-grade RAG system for financial regulatory documents (SEC/SEBI) — LangChain, LangGraph, Pinecone, FastAPI, React
All CPU efficient GPU-less Financial Analysis RAG Model with Qdrant, Langchain and GPT4All x Mistral-7B, run RAG without any GPU support!
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A deep learning trading bot written in Python. UNDER ACTIVE DEVELOPMENT.
Resource repo for invaluable resources regarding deep learning, trading, and cryptocurrency.
Deep learning trading system for predicting financial time-series prices.