RAG Pipelines with Langchain for Software Engineers

Build production-ready Retrieval-Augmented Generation (RAG) pipelines using Langchain to supercharge your applications with the power of Large Language Models.

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LLM Fundamentals and RAG Pipeline Architecture

Unit 1: LLM Fundamentals

Unit 2: RAG Pipeline Architecture

Unit 3: Development Environment Setup

Building RAG Pipelines with Langchain

Unit 1: Data Loading and Indexing

Unit 2: Retrieval Strategies

Unit 3: Response Generation and RAG Approaches

Optimizing RAG Pipeline Performance

Unit 1: Evaluating Embedding Models

Unit 2: Prompt Engineering Techniques

Unit 3: Evaluating RAG Pipeline Performance

Real-World RAG Application: Code Documentation Retrieval

Unit 1: Project Setup and Data Ingestion

Unit 2: Building the RAG Pipeline

Unit 3: Evaluation and Iteration