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CodeSignal

Scaling up RAG with Vector Databases

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Overview

Discover how to scale RAG systems using vector databases. Learn to preprocess documents, store embeddings in ChromaDB, retrieve relevant chunks, and construct prompts. Manage updates and large-scale ingestion with batch strategies for efficient retrieval.

Syllabus

  • Unit 1: Chunking Text for Retrieval-Augmented Generation Systems
    • Mastering Document Chunking Basics
    • Preserve Sentence Boundaries in Chunks
    • Enhance Text Chunking Skills
    • Organize Chunks with Metadata
    • Enhance Text with Keyword Detection
  • Unit 2: Storing and Managing Text Chunks in Vector Databases
    • Loading and chunking text
    • Building a ChromaDB Collection
    • Dynamic Chunk Management in ChromaDB
    • Dynamic Document Management in ChromaDB
  • Unit 3: Retrieving and Prompt Building in RAG Systems
    • Enhance Your Retrieval Function
    • Crafting Context-Rich LLM Prompts
    • Metadata-Based Retrieval Enhancement
    • Refine Retrieval with Distance Threshold
  • Unit 4: Metadata-Based Filtering in RAG Systems
    • Where Clauses
    • Crafting Metadata Enhanced Search
    • Enhance Metadata Filtering Skills
    • Enhance Search with Fallback Mechanism

Reviews

1.0 rating, based on 1 Class Central review

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  • Anonymous
    I am really fedup why because it asking me to pay to get started the free trail i thoughts its free course with free certification and the energy concept in there is very boring
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