LangChain with Azure AI: Building LLM powered Applications
summary
Shows a concrete RAG pipeline: chunk Microsoft certification guides (chunk overlap 200), generate OpenAI embeddings, store vectors in Azure AI Search, run similarity search (K=3) and pass retrieved docs into a LangChain prompt template. Demonstrates a working Streamlit tutor UI and a Twilio WhatsApp agent that answers certification questions; similarity searches return relevant chunks and the live WhatsApp demo and stage “card” trick both succeed. Mentions knowledge cutoff May 2024 and million‑token context claims for Gemini.
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chapters (11)
- 0:00LangChain and Azure AI intro
- 4:15Limitations of LLMs and RAG solutions
- 7:04LangChain framework
- 9:12RAG with Azure AI Search
- 11:21Document processing and embeddings
- 16:01Prompt template and LLM integration
- 17:29Azure cert tutor demo
- 18:14Business RAG pipeline
- 19:21Agentic AI with Twilio demo
- 20:08AI magic trick demo
- 23:01Closing and resources
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