LangChain is a framework for developing applications powered by large language models (LLMs).
code github:
LangChain simplifies every stage of the LLM application lifecycle:
Development: Build your applications using LangChain’s open-source building blocks and components. Hit the ground running using third-party integrations and Templates.
Productionization: Use LangSmith to inspect, monitor and evaluate your chains, so that you can continuously optimize and deploy with confidence.
Deployment: Turn any chain into an API with LangServe.
Timestamp
00:00:00 Introduction
00:00:46 Introduction To Langchain Ecosystem
00:09:09 Chatbot application Usinjg Langchain
00:35:36 Chain As Api For Deployment
01:02:16 Complete Basic Rag Pipeline
01:32:07 Advanced Rag Pipeline
01:51:34 Advanced RAG Pipeline With Multiple Data Source
02:16:10 End To End LAngchain Project USing Groq Inference Engine
02:44:07 Hugging Face With Langchain
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Fresh Langchain Playlist:
►LLM Fine Tuning Playlist:
►AWS Bedrock Playlist:
►Llamindex Playlist:
►Google Gemini Playlist:
►Langchain Playlist:
►Data Science Projects:
►Learn In One Tutorials
Statistics in 6 hours:
End To End RAG LLM APP Using LlamaIndex And OpenAI- Indexing And Querying Multiple Pdf’s
Machine Learning In 6 Hours:
Deep Learning 5 hours :
►Learn In a Week Playlist
Statistics:
Machine Learning :
Deep Learning:
NLP :
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My Recording Gear
Laptop:
Office Desk :
Camera:
Writing Pad:
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Audio Accessories:
Audio Mic:
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