[D] How to create a question answering system with a (potentially very large) corpus of text?

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  • Questgen.ai

    Question generation using state-of-the-art Natural Language Processing algorithms

  • acl2020-openqa-tutorial

    ACL2020 Tutorial: Open-Domain Question Answering

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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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.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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