deepset-ai/haystack

🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

PythonHTMLHCLpythonnlpmachine-learninginformation-retrievalaitransformerspytorchquestion-answeringsummarizationlanguage-modelsemantic-searchhacktoberfestsquadbertgpt-3large-language-modelsgenerative-aichatgpt
This is stars and forks stats for /deepset-ai/haystack repository. As of 24 Apr, 2024 this repository has 11105 stars and 1422 forks.

CI/CD Docs Package Meta Haystack is an end-to-end NLP framework that enables you to build applications powered by LLMs, Transformer models, vector search and more. Whether you want to perform question answering, answer generation, semantic document search, or build tools that are capable of complex decision-making and query resolution, you can use the state-of-the-art NLP models with Haystack to build end-to-end NLP applications solving your use case. Quickstart Haystack is built around...
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