Uploaded March 2026 | Updated September 2026, 2 weeks ago
🚀 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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I Built a 100% Private AI Health Supplement Advisor (No OpenAI, No Cloud, No Data Leaks). Your Supplement Questions Answered by LOCAL AI — Zero Internet, Zero Cost, Zero Compromise.
I built a fully private, offline RAG (Retrieval-Augmented Generation) chatbot
that answers questions about health supplements — using only local AI models.
No OpenAI. No API costs. Your data never leaves your machine.
In this tutorial, you'll learn how to:
✅ Ingest health supplement research papers with automatic metadata extraction
✅ Set up hybrid search (dense + sparse) with Qdrant vector database
✅ Build a LangChain agent with tool use and conversation memory
✅ Return structured outputs with answer, sources, and confidence level
✅ Run everything 100% privately with Ollama (Qwen3 embeddings + LLM)
🔧 Tech Stack:
- RAGWire (custom RAG framework)
- Ollama (local LLM + embeddings)
- Qdrant (vector database)
- LangChain / LangGraph
- Qwen3.5:9b + qwen3-embedding:0.6b
This is perfect for anyone who wants to use AI on sensitive health data without
relying on cloud APIs.
RAGWire Link: laxmimerit.github.io/RAGWire
Playlist: youtube.com/watch?v=2YKcETgdTzg&list=PLc2rvfiptPSRPisJfErTD9dEGClvPJVIe
RAGWire RAG Tutorial Repo Link: github.com/laxmimerit/RAGWire-RAG-Tutorial
📚 Learn More with My Udemy Courses
🧠 Master OpenAI Agent Builder - Deploy Chatbot to Your Website
udemy.com/course/master-openai-agent-builder-low-code-ai-projects-workflow/?referralCode=B0B67D18B1013E488FB7
🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
udemy.com/course/mcp-mastery-build-ai-apps-with-claude-langchain-and-ollama/?referralCode=31C17C306A59601B8689
🚀 Agentic RAG with LangChain & LangGraph
udemy.com/course/agentic-rag-with-langchain-and-langgraph/?referralCode=C0BCC208F53AF2C98AC5
🧠 LangGraph with Ollama
udemy.com/course/langgraph-with-ollama/?referralCode=B646DCB44A189BEBC20C
⚡ Ollama and LangChain
udemy.com/course/ollama-and-langchain/?referralCode=7F4C0C7B8CF223BA9327
🔧 Fine-Tuning LLM with Hugging Face Transformers
udemy.com/course/fine-tuning-llm-with-hugging-face-transformers/?referralCode=6DEB3BE17C2644422D8E
📖 NLP with BERT in Python
udemy.com/course/nlp-with-bert-in-python/?referralCode=063516494616C76907CD
🌐 Connect with Me
Website & Blogs: kgptalkie.com
LinkedIn: linkedin.com/in/laxmimerit
GitHub: github.com/laxmimerit
Twitter (X): twitter.com/laxmimerit
📌 Support the Channel
👍 Like the video if it helps you
💬 Comment your doubts & feedback
🔔 Subscribe for free weekly AI & Data Science content
#DataScience #MachineLearning #LangChain #LangGraph #Ollama #Python #AI #DeepLearning #NLP #GenerativeAI #LLM #HuggingFace #BERT
🚀 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
----------
I Built a 100% Private AI Health Supplement Advisor (No OpenAI, No Cloud, No Data Leaks). Your Supplement Questions Answered by LOCAL AI — Zero Internet, Zero Cost, Zero Compromise.
I built a fully private, offline RAG (Retrieval-Augmented Generation) chatbot
that answers questions about health supplements — using only local AI models.
No OpenAI. No API costs. Your data never leaves your machine.
In this tutorial, you'll learn how to:
✅ Ingest health supplement research papers with automatic metadata extraction
✅ Set up hybrid search (dense + sparse) with Qdrant vector database
✅ Build a LangChain agent with tool use and conversation memory
✅ Return structured outputs with answer, sources, and confidence level
✅ Run everything 100% privately with Ollama (Qwen3 embeddings + LLM)
🔧 Tech Stack:
- RAGWire (custom RAG framework)
- Ollama (local LLM + embeddings)
- Qdrant (vector database)
- LangChain / LangGraph
- Qwen3.5:9b + qwen3-embedding:0.6b
This is perfect for anyone who wants to use AI on sensitive health data without
relying on cloud APIs.
RAGWire Link: laxmimerit.github.io/RAGWire
Playlist: youtube.com/watch?v=2YKcETgdTzg&list=PLc2rvfiptPSRPisJfErTD9dEGClvPJVIe
RAGWire RAG Tutorial Repo Link: github.com/laxmimerit/RAGWire-RAG-Tutorial
📚 Learn More with My Udemy Courses
🧠 Master OpenAI Agent Builder - Deploy Chatbot to Your Website
udemy.com/course/master-openai-agent-builder-low-code-ai-projects-workflow/?referralCode=B0B67D18B1013E488FB7
🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
udemy.com/course/mcp-mastery-build-ai-apps-with-claude-langchain-and-ollama/?referralCode=31C17C306A59601B8689
🚀 Agentic RAG with LangChain & LangGraph
udemy.com/course/agentic-rag-with-langchain-and-langgraph/?referralCode=C0BCC208F53AF2C98AC5
🧠 LangGraph with Ollama
udemy.com/course/langgraph-with-ollama/?referralCode=B646DCB44A189BEBC20C
⚡ Ollama and LangChain
udemy.com/course/ollama-and-langchain/?referralCode=7F4C0C7B8CF223BA9327
🔧 Fine-Tuning LLM with Hugging Face Transformers
udemy.com/course/fine-tuning-llm-with-hugging-face-transformers/?referralCode=6DEB3BE17C2644422D8E
📖 NLP with BERT in Python
udemy.com/course/nlp-with-bert-in-python/?referralCode=063516494616C76907CD
🌐 Connect with Me
Website & Blogs: kgptalkie.com
LinkedIn: linkedin.com/in/laxmimerit
GitHub: github.com/laxmimerit
Twitter (X): twitter.com/laxmimerit
📌 Support the Channel
👍 Like the video if it helps you
💬 Comment your doubts & feedback
🔔 Subscribe for free weekly AI & Data Science content
#DataScience #MachineLearning #LangChain #LangGraph #Ollama #Python #AI #DeepLearning #NLP #GenerativeAI #LLM #HuggingFace #BERT
