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
On this page of the site you can watch the video online Project 75: Amazon Finance RAG System Using Python & Langchain with a duration of hours minute second in good quality, which was uploaded by the user KNOWLEDGE DOCTOR 16 July 2025, share the link with friends and acquaintances, this video has already been watched 1,601 times on youtube and it was liked by 48 viewers. Enjoy your viewing!
