Question Answering Python Packages

spark-nlp

State of the Art Natural Language Processing

haystack-ai

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

simpletransformers

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

farm-haystack

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

paddlenlp

Easy-to-use and powerful LLM and SLM library with awesome model zoo.

nlpcloud

NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and more...

tool-helpers

Easy-to-use and powerful LLM and SLM library with awesome model zoo.

adalflow

AdalFlow: The library to build & auto-optimize LLM applications.

fastt5

⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.

fast-dataindex

Easy-to-use and powerful LLM and SLM library with awesome model zoo.

ai2-scholar-qa

Repo housing the open sourced code for the ai2 scholar qa app and also the corresponding library

lightrag

AdalFlow: The library to build & auto-optimize LLM applications.

happytransformer

Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.

deeppavlov

An open source library for deep learning end-to-end dialog systems and chatbots.

transformers-keras

Transformer-based models implemented in tensorflow 2.x(using keras).

farm

:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

wdoc

Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, advanced RAG, advanced summaries, scriptable, etc

genienlp

GenieNLP: A versatile codebase for any NLP task

factscorelite

FactScoreLite is an implementation of the FactScore metric, designed for detailed accuracy assessment in text generation. This package builds upon the framework provided by the original FactScore repository, which is no longer maintained and contains outdated functions.

fast-tokenizer-python

Easy-to-use and powerful LLM and SLM library with awesome model zoo.

nanoindex

Agentic RAG Harness for long documents, Tree and Graph based reasoning. Cited answers down to the pixel

faster-tokenizer

Easy-to-use and powerful LLM and SLM library with awesome model zoo.

doctoolsllm

(Now winston_doc) A perfect AI powered RAG for document query and summary. Supports ~all LLM and ~all filetypes (url, pdf, epub, youtube (incl playlist), audio, anki, md, docx, pptx, oe any combination!)

vectorless

Knowing by reasoning, not vectors.