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Table of Contents

  • Represent Data as Vectors
    • Vector Basics
    • Vector Similarity
  • Encode Objects in Embeddings
    • Word Embeddings
    • Text Embeddings
  • Get Started With ChromaDB, an Open-Source Vector Database
    • What Is a Vector Database?
    • Meet ChromaDB for LLM Applications
  • Practical Example: Add Context for a Large Language Model (LLM)
    • Prepare and Inspect Your Dataset
    • Create a Collection and Add Reviews
    • Connect to an LLM Service
    • Provide Context to the LLM
  • Conclusion
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