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Haystack ⭐ 12,474

🔍 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.

⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.

Awesomemrc ⭐ 325

Research summary and playground for MRC & code for Retrospective Reader for Machine Reading Comprehension (AAAI 2021)

Cherche ⭐ 295

📑 Neural Search

Jack the Reader

The source code of ACL 2018 paper "Denoising Distantly Supervised Open-Domain Question Answering".

Chinese Rc Datasets ⭐ 112

Collections of Chinese reading comprehension datasets

Machine reading comprehension on clinical case reports

Knowledge Aware Reader ⭐ 104

PyTorch implementation of the ACL 2019 paper "Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader"

Gated Attention Reader ⭐ 36

Tensorflow/Pytorch implementation of Gated Attention Reader

Distilled Retriever Pytorch ⭐ 11

Implementation of the retriever distillation procedure as outlined in the paper "Distilling Knowledge from Reader to Retriever"

Inter Iit 11 Devrev ⭐ 7

DevRev’s Expert Answers in a Flash Improving Domain-Specific QA

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