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| File Name: | Udemy – Advanced LangChain Techniques: Mastering RAG Applications |
| Content Source: | https://www.udemy.com/course/advanced-langchain-techniques-mastering-rag-applications/ |
| Genre / Category: | Other Tutorials |
| File Size : | 2 GB |
| Publisher: | udemy |
| Updated and Published: | July 14, 2024 |
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! 🙂
DOWNLOAD LINK: Udemy – Advanced LangChain Techniques: Mastering RAG Applications
Advanced_LangChain_Techniques_Mastering_RAG_Applications.part1.rar – 995.0 MB
Advanced_LangChain_Techniques_Mastering_RAG_Applications.part2.rar – 995.0 MB
Advanced_LangChain_Techniques_Mastering_RAG_Applications.part3.rar – 39.5 MB
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