Complete Langchain Course For Generative AI In 3 Hours

This podcast episode delves into the powerful LangChain ecosystem, offering listeners a comprehensive guide to building and deploying generative AI applications. The discussion spans from understanding key components like chains and agents, to utilizing open-source LLMs for local integration and creating REST APIs with LangServe. Listeners are walked through practical steps in building sophisticated Retrieval Augmented Generation (RAG) pipelines and a multi-search agent, culminating in the development of a Q&A application using open-source models. With an emphasis on real-world applications and practical coding, the episode equips aspiring developers with the insights and tools needed to engage with the rapidly evolving landscape of AI.

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Krish Naik

Introduction to LangChain and its Ecosystem

Deep Dive into the LangChain Ecosystem and Core Components

Building a Chatbot with LangChain: Paid and Open-Source LLMs

Integrating Open-Source LLMs Locally with OLAMA and LangChain

Creating and Deploying LangChain Applications as REST APIs with LangServe

Building a Retrieval Augmented Generation (RAG) Pipeline from Scratch

Advanced RAG Pipeline with Retrievers and Chains

Building a Multi-Search Agent RAG Application with LangChain

End-to-End RAG Project with Open-Source LLMs and Groq Inferencing Engine

LangChain, Hugging Face, and Open-Source LLMs: Building a Q&A RAG App

Complete Langchain Course For Generative AI In 3 Hours

Krish Naik

00:00Introduction to LangChain and its Ecosystem

Introduction to LangChain and its Ecosystem

05:54Deep Dive into the LangChain Ecosystem and Core Components

Deep Dive into the LangChain Ecosystem and Core Components

09:08Building a Chatbot with LangChain: Paid and Open-Source LLMs

Building a Chatbot with LangChain: Paid and Open-Source LLMs

25:18Integrating Open-Source LLMs Locally with OLAMA and LangChain

Integrating Open-Source LLMs Locally with OLAMA and LangChain

35:37Creating and Deploying LangChain Applications as REST APIs with LangServe

Creating and Deploying LangChain Applications as REST APIs with LangServe

1:02:18Building a Retrieval Augmented Generation (RAG) Pipeline from Scratch

Building a Retrieval Augmented Generation (RAG) Pipeline from Scratch

1:32:04Advanced RAG Pipeline with Retrievers and Chains

Advanced RAG Pipeline with Retrievers and Chains

1:51:34Building a Multi-Search Agent RAG Application with LangChain

Building a Multi-Search Agent RAG Application with LangChain

2:15:53End-to-End RAG Project with Open-Source LLMs and Groq Inferencing Engine

End-to-End RAG Project with Open-Source LLMs and Groq Inferencing Engine

2:44:04LangChain, Hugging Face, and Open-Source LLMs: Building a Q&A RAG App

LangChain, Hugging Face, and Open-Source LLMs: Building a Q&A RAG App