Text chunk

As explained in Building Reliable AI Systems

A segment of text produced by dividing a larger document for processing or retrieval.

A text chunk is a manageable segment of a larger document, created by splitting loaded data into paragraphs, sections, or other retrieval units. Chunks are embedded and stored as part of indexing, helping prepare information for precise retrieval. section 3.4

Figure 3.3 The indexing process consists of four steps: loading the data, splitting or segmenting the data, embedding or converting the data to vectors, and storing the embeddings in a structured repository.

See where splitting fits in the indexing flow: after loading data and before embedding and storing it. section 3.4

How Building Reliable AI Systems covers it

How deep it goes

Describes splitting loaded data into manageable chunks, including paragraphs or sections, without detailing splitter configuration.

Examples

Uses paragraphs or sections as chunk boundaries when dividing loaded documents.

What you can do after

Apply text splitters to segment loaded documents into manageable units for embedding and retrieval.

How it connects

Connects text chunks to text splitters, embeddings, and retrieval in RAG indexing.

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Also explained in

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  Grokking AI ApplicationsA contiguous portion of text created by splitting a larger document into smaller units for processing or retrieval.
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  AI Agents and ApplicationsA text splitter is a component that divides large text into smaller chunks or document objects.
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  Generative AI in ActionChunking is the partitioning of data, especially text, into smaller units for processing, indexing, or retrieval.
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  Spring AI in ActionA document splitter divides a document into smaller chunks suitable for downstream processing.
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  Fast Python: High performance techniques for large datasets
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  Build AI-Enhanced Web AppsChunking is the division of a document or text stream into smaller units for processing or analysis.
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  Essential GraphRAGText chunking is the process of splitting source text into smaller pieces for downstream processing and retrieval.
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  MongoDB 8.0 in Action, Third EditionA text chunk is a bounded, coherent segment of source text, such as a paragraph or section, treated as one unit for processing.
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  AI-Powered SearchChunking is the process of dividing a document or other content into smaller sections for separate processing or retrieval.
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  The Art of AI Product DevelopmentSemantic chunking divides text into segments according to meaningful topics or semantic boundaries.
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  Clojure: The Essential ReferenceSequence chunking is an internal optimization that computes a group of sequence elements ahead of their individual demand.
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  Effective Conversational AIA coherent segment of text treated as an individual unit for embedding, indexing, or retrieval.
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  Machine Learning Platform EngineeringA text splitter is a component that divides text into smaller chunks according to specified or semantic boundary rules.
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  Data Pipelines with Apache Airflow, Second EditionA chunk is a smaller piece of source text created by dividing a larger document for retrieval and processing.
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  Microsoft Azure in ActionChunking is the division of text into smaller segments for processing by a language model or retrieval system.
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  Build an AI Agent (From Scratch)Text chunking is the division of source text into smaller segments for storage, retrieval, or processing.
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  AI Agents in Action, Second EditionSemantic chunking is the segmentation of source material into sections that preserve meaningful units of content.
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  The Art of CodeChunking is the grouping of detailed operations into meaningful higher-level units that can be understood as a whole.

Compare how 19 books explain text chunk →

Related concepts

• sliding windowproduced by · A sliding window is a bounded region over an ordered sequence or time range that advances, updating which elements fall within it.
• retrieval-augmented generationuses · 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.
• embeddingproduces · A numerical vector representation of an item or input that encodes features or relationships useful for computational tasks.
• chunkingincludes · Chunking is the process of dividing content or data into smaller units for processing, retrieval, or organization.
• RecursiveCharacterTextSplitterimplemented by · RecursiveCharacterTextSplitter is a LangChain text-splitting component that recursively divides text using ordered separators, size constraints, and optional overlap.

This explainer was generated by Manning's knowledge graph from the text of Building Reliable AI Systems. The section links point to the parts of the book it draws on.