Haystack
Haystack is an open-source framework for building modular search, retrieval, question-answering, and language-model applications.
Natural Language Processing in Action, Second Edition
Haystack is an open-source framework for building natural-language search, question-answering, and retrieval-augmented generation pipelines.
- How it is used
- Builds RAG question-answering applications by combining language models, guardrails, and vector search.
- How deep it goes
- Demonstrates Python components, prompt design, pipeline wiring, retrieval parameters, and outputs, without detailing deployment internals.
- Examples
- Uses retrieved documents to answer LSTM-versus-RNN, Louvre, and artificial-intelligence questions.
- What you can do after
- Build RAG QA pipelines that retrieve documents, prompt a model, reject unsupported answers, and inspect returned results.
Read how Natural Language Processing in Action, Second Edition explains Haystack →
Building Reliable AI Systems
Haystack is an open-source framework for constructing modular search and language-model pipelines.
- How it is used
- Positions Haystack as a modular pipeline framework for metadata filtering, emphasizing production-ready components.
- How deep it goes
- Names modular pipeline construction and production-ready components but provides no implementation details.
Related concepts
- 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.
- pipelineuses · A pipeline is an ordered or coordinated sequence of connected processing stages or tasks that passes data, work, or results toward an outcome.
- document databasehas part · A document database is a nonrelational database that stores and retrieves records as self-contained documents, often with flexible or nested structures.
- similarity searchuses · Similarity search is a retrieval technique that finds or ranks items by comparing their representations with a query according to a similarity or distance measure.
- context engineeringuses · Context engineering is the deliberate selection, organization, and management of information supplied to an AI system to support effective task performance.
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