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Beyond Basic RAG using JavaScript: Improving the Pipeline

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Overview

Enhance your RAG pipeline with advanced retrieval: combine BM25 and embeddings, implement iterative retrieval with query refinement and context building, constrain LLM outputs to sourced context, and optionally summarize chunks into a concise prompt.

Syllabus

Unit 1: Beyond Basic RAG: Enhancing RAG Systems with Constrained Generation in JavaScript

Enhancing Retrieval-Augmented Generation with Constrained Prompts in JavaScript
Strict Prompt Strategy Implementation in JavaScript
Exploring the Citation Prompt Strategy in JavaScript
Generate With Constraints in Retrieval-Augmented Generation Systems
Managing Context Length in Retrieval-Augmented Generation

Unit 2: Iterative Retrieval: Enhancing RAG Systems with JavaScript

Inverted-Distance Similarity Score Calculation in JavaScript
Introducing a Maximum Chunk Limit to Iterative Retrieval
Enhancing Iterative Retrieval with Multiple Keywords in JavaScript

Unit 3: Managing Overlaps and Summarization in RAG Systems with JavaScript

Detecting Overlapping Text Chunks in JavaScript
Enhancing Summarization Logic in RAG Pipeline
Final Generation Function Implementation in JavaScript

Unit 4: Enhancing RAG Systems with Hybrid Retrieval in JavaScript

Enhancing Hybrid Retrieval with Similarity Conversion
Enhancing Hybrid Retrieval with BM25 Normalization
Enhancing Hybrid Retrieval with Score Filtering
Building a BM25 Index for Hybrid Retrieval Systems in JavaScript

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