Chroma DB

As explained in Data Storytelling with Altair and AI

Chroma is an embedding database for storing and retrieving vector representations of data.

How Data Storytelling with Altair and AI covers it

How deep it goes

Explains loading, chunking, embedding, persistence, retrieval, and output, without detailing Chroma's internal indexing.

Examples

Uses an HTML smartphone description, a Product-Info collection, and a generated SmartX 2023 answer with source documents.

What it assumes

Assumes familiarity with Python-based application code while introducing document loading, text splitting, embeddings, and retrieval progressively.

What you can do after

Build it from scratch by persisting embedded documents in Chroma and querying them through a LangChain retrieval application.

How it connects

Connects embeddings, vector databases, LangChain, retrieval-augmented generation, prompt templates, and large language models.

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Also explained in

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  liveBookmanning.com
  Grokking AI ApplicationsChroma is an open-source vector database for storing embeddings and associated data and performing similarity-based retrieval.
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  liveBookmanning.com
  Generative AI in ActionChroma is an open-source vector database for storing and querying embeddings and their associated documents or metadata.
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  liveBookmanning.com
  AI Agents and ApplicationsChroma is a vector database that stores text, embeddings, and metadata and supports similarity-based retrieval.
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  liveBookmanning.com
  AI Agents in Action, Second EditionChroma DB is a database system for storing and retrieving vector embeddings and associated document data.
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  liveBookmanning.com
  Effective Conversational AIChroma is an open-source vector database and retrieval system for storing and searching embedding vectors.
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  liveBookmanning.com
  Build Applications with Local AI Models on a MacChromaDB is an open-source vector database for storing, querying, and managing embeddings and associated data.

Compare how 7 books explain Chroma DB →

Related concepts

• vector databasekind of · A vector database is a data-management system that stores and indexes numerical vector representations and supports retrieval through similarity or distance searches.
• retrieval-augmented generationused by · Retrieval-augmented generation is a technique that retrieves relevant information from external sources and supplies it as context to a generative model when producing an output.
• conversational aiused by · Conversational AI is artificial intelligence that enables software systems to interact with users through natural-language dialogue.
• FAISSalternative to · FAISS is an open-source software library for efficient similarity search and clustering of dense vectors.
• embeddingused by · A numerical vector representation of an item or input that encodes features or relationships useful for computational tasks.
• collectionuses · A collection is a data structure or abstraction that groups multiple elements for storage, access, traversal, or processing.

This explainer was generated by Manning's knowledge graph from the text of Data Storytelling with Altair and AI. The section links point to the parts of the book it draws on.