LangChain Tutorial - The Core Building Blocks - LLMs, JSON Output, RAGs, Tools and Observability

LangChain Tutorial - The Core Building Blocks - LLMs, JSON Output, RAGs, Tools and Observability

Venelin Valkov via YouTube Direct link

04:51 - Multiple LLM provider support Gemini, Qwen3

5 of 13

5 of 13

04:51 - Multiple LLM provider support Gemini, Qwen3

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

LangChain Tutorial - The Core Building Blocks - LLMs, JSON Output, RAGs, Tools and Observability

Automatically move to the next video in the Classroom when playback concludes

  1. 1 00:00 - Welcome
  2. 2 01:22 - LangChain ecosystem with LangGraph
  3. 3 02:00 - Notebook setup
  4. 4 03:15 - Call LLM OpenAI
  5. 5 04:51 - Multiple LLM provider support Gemini, Qwen3
  6. 6 06:57 - Token usage
  7. 7 08:48 - Simple chatbot messages, ChatPromptTemplate, chat history
  8. 8 13:09 - Structured output JSON mode with Pydantic
  9. 9 17:20 - Loading external PDF document
  10. 10 18:45 - Simple RAG embeddings, vector store and chat with a PDF
  11. 11 24:14 - Tool calling tool documentation, tool execution and ToolMessage
  12. 12 28:08 - Debugging and Tracing with MLFlow
  13. 13 32:22 - Conclusion

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.