Language: English (US)

Elevate Your RAG Applications to the Next Level

https://www.udemy.com/course/advanced-langchain-techniques-mastering-rag-applications/

What to Expect from This Course

Welcome to our course on Advanced Retrieval-Augmented Generation (RAG) with the LangChain Framework!

In this course, we dive into advanced techniques for Retrieval-Augmented Generation, leveraging the powerful LangChain framework to enhance your AI-powered language tasks. LangChain is an open-source tool that connects large language models (LLMs) with other components, making it an essential resource for developers and data scientists working with AI.

Course Highlights

Focus on RAG Techniques: This course provides a deep understanding of Retrieval-Augmented Generation, guiding you through the intricacies of the LangChain framework. We cover a range of topics from basic concepts to advanced implementations, ensuring you gain comprehensive knowledge.

Comprehensive Content: The course is designed for developers, software engineers, and data scientists with some experience in the world of LLMs and LangChain. Throughout the course, you'll explore:

• LCEL Deepdive and Runnables

• Chat with History

• Indexing API

• RAG Evaluation Tools

• Advanced Chunking Techniques

• Other Embedding Models

• Query Formulation and Retrieval

• Cross-Encoder Reranking

• Routing

• Agents

• Tool Calling

• NeMo Guardrails

• Langfuse Integration

Additional Resources

• Helper Scripts: Scripts for data ingestion, inspection, and cleanup to streamline your workflow.

• Full-Stack App and Docker: A comprehensive chatbot application with a React frontend and FastAPI backend, complete with Docker support for easy setup and deployment.

• Additional resources are available to support your learning.

Happy Learning! :-)

Advanced_LangChain_Techniques_Mastering_RAG_Applications.part1.rar

Advanced_LangChain_Techniques_Mastering_RAG_Applications.part2.rar

Advanced_LangChain_Techniques_Mastering_RAG_Applications.part3.rar