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CodeSignal

Optimizing and Scaling ChromaDB for Vector Search

via CodeSignal

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Overview

This course focuses on scaling ChromaDB for large-scale deployments, improving search efficiency, reducing retrieval latency, and parallelizing queries for real-time performance.

Syllabus

  • Unit 1: Reducing Query Latency with Precomputed Nearest Neighbors
    • Loading and Managing Vector Data
    • Setting Up ChromaDB Collection
    • Insert and Retrieve with ChromaDB
    • Configuring and Verifying Embeddings in ChromaDB
    • Compute and Store Nearest Neighbors
  • Unit 2: Implementing Dynamic Search Space Reduction with ChromaDB
    • Dynamic Search Space Filtering
    • Timing Dynamic Search Space
    • Handling Empty Search Results
  • Unit 3: Real-Time Stream Processing in ChromaDB
    • Logging Real-Time Data Streams
    • Monitor Streaming Performance
    • Verify Real-Time Data Retrieval

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