Dense Passage Retriever(DPR) Open-QA System

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  • haystack

    :mag: 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.

    DPR was one of the first papers that discussed building dense retrievers using QA pairs only and didn't require a big pretraining computational setup like ORQA or REALM. It is currently used in a lot of places as a dense retriever. You can find Hugginface and Haystack implementations also.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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