Project 75: Amazon Finance RAG System Using Python & Langchain
Welcome to Project 75 of our AI project series! In this video, we build a RAG-based (Retrieval-Augmented Generation) financial question-answering system focused on Amazon's earnings reports and financial documents. 💰📊
Using Python, LangChain, FAISS, and LLMs, we create an intelligent agent capable of answering complex questions like:
➡️ "What is Amazon's quarterly revenue?"
➡️ "Which segment contributed most to the growth?"
➡️ "What are the key financial highlights for the year?"
🧠 Tech Stack Used:
✅ Python
✅ LangChain
✅ FAISS (Vector Database)
✅ OpenAI/Groq LLM
✅ HuggingFace Embeddings
✅ Financial document parsing
📸 Real Life Example of DSA : • Real Life Example of Data Structure & Algo...
Source Code : https://github.com/Chando0185/Multive...
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📚 Perfect for ML engineers, data scientists, finance analysts, and anyone curious about combining LLMs with finance.
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#LangChain #FinanceAI #RAG #AmazonEarnings #LLM #PythonAI #AIProjects #FAISS #Groq #OpenAI #FinancialAnalysis #Project75
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