Uploaded January 2025 | Updated September 2026, 2 weeks ago

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🚀 The LangChain 10 Days FREE Bootcamp is live: 10 lessons, free AI models only, from your first API call to a production grade RAG agent. Start with Day 0 for the roadmap and setup.

📺 Full playlist: youtube.com/watch?v=KJ3_NExk7-Q&list=PLW4pPr9JCovI&index=1

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Learn how to build a RAG (Retrieval-Augmented Generation) system locally for financial document analysis using DeepSeek-R1 and Ollama! Perfect for coders, finance pros, or AI enthusiasts, this tutorial by kgp talkie covers:

🔹 Uploading & processing PDFs into a vector database (FAISS)
🔹 Running DeepSeek-R1 7B model locally via Ollama
🔹 Setting up private AI workflows for sensitive financial data
🔹 Asking questions like "What’s the quarterly revenue?" and getting instant answers

Tools Used:
✅ DeepSeek-R1 (1.5B/7B models for coding & finance)
✅ Ollama (local AI model runner)
✅ Streamlit (web interface)
✅ LangChain (RAG pipelines)

👍 Like if you love local AI solutions!
🔔 Subscribe to kgp talkie for more Ollama tutorials and DeepSeek-R1 guides!

#kgptalkie #DeepSeekR1 #OllamaTutorial #FinanceRAG #LocalAI #DeepSeekR1onOllama #RunDeepSeekLocally #FinancialAnalysis #RAGtutorial #PrivateAI #OllamaSetup #DeepSeekR1Tutorial #FAISS #LangChain #NoCloudAI #DocumentQA #DeepSeek7B #AIForCoding #SensitiveDataAI #OfflineRAG

Links
Dataset
github.com/laxmimerit/rag-dataset

Code Files
github.com/laxmimerit/ollama-chatbot

Local LLM Playlist
youtube.com/watch?v=sNSoQ7k0JFY&list=PLc2rvfiptPSReropGbvDFpB6dneNBwqhD

Ollama Setup for DeepSeek R1
youtube.com/watch?v=wuBTqk6DbV0&list=PLc2rvfiptPSReropGbvDFpB6dneNBwqhD&index=7

💯 Read Full Blog with Code
kgptalkie.com
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