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...
💬 Join the Community:-
👍 Facebook: / -
🐦 Discord : / discord
📸 Instagram: @knowledge_doctor-
💼 LinkedIn: / mishu-dhar-chando-8878a617b )
📌 Don’t forget to Like, Share, and Subscribe for more ML, NLP & AI projects!
💬 Have questions? Drop them in the comments!
📚 Perfect for ML engineers, data scientists, finance analysts, and anyone curious about combining LLMs with finance.
🔔 Don't forget to Like, Share, Comment, and Subscribe for more powerful AI projects!
#LangChain #FinanceAI #RAG #AmazonEarnings #LLM #PythonAI #AIProjects #FAISS #Groq #OpenAI #FinancialAnalysis #Project75
In questa pagina del sito puoi guardare il video online Project 75: Amazon Finance RAG System Using Python & Langchain della durata di ore minuti seconda in buona qualità , che l'utente ha caricato KNOWLEDGE DOCTOR 16 luglio 2025, condividi il link con amici e conoscenti, su youtube questo video è già stato visto 1,601 volte e gli è piaciuto 48 spettatori. Buona visione!
