Project Haystack is an open metadata model and tagging convention for semantically describing building and IoT data. It standardizes semantic tags and vocabularies to simplify integration, discovery and analytics across heterogeneous systems. The specification is supported by community libraries, converters and documentation, and is widely used in building a…
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Technical building block: can be automated, integrated, or operated.
Concrete cog in the system that works inside larger relationships.
Haystack is deepset's open-source framework for building search, question-answering, and generative AI applications.
deepset developed Haystack from the practical challenge of combining document search with neural language models for question answering. The project was released as open source in 2020 and evolved into a modular pipeline platform.
A Haystack pipeline is an assembly line of nodes: a retriever fetches relevant documents, a generator forms an answer from them, and connections decide what moves onward.
Connects components into a controlled processing path.
Finds documents relevant to a query.
Creates an answer from the query and retrieved context.
Haystack makes RAG and search pipelines modular and testable; answer quality still depends on data, retrieval, model, and evaluation.
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