Haystack is an open-source framework for modular search and language-model pipelines, positioned for production use and metadata filtering. section 3.4.1
Haystack
Haystack is an open-source framework for constructing modular search and language-model pipelines.
How Building Reliable AI Systems covers it
- How deep it goes
- Names modular pipeline construction and production-ready components but provides no implementation details.
- How it connects
- Connects Haystack with retrieval-augmented generation, metadata filtering, LangChain, and LlamaIndex.
Also explained in
-
Natural Language Processing in Action, Second EditionHaystack is an open-source framework for building natural-language search, question-answering, and retrieval-augmented generation pipelines.
Compare how 2 books explain Haystack →
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.
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.