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.

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.

simpletransformers

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

paddlenlp

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

adalflow

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

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.

fast-dataindex

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

ai2-scholar-qa

Python package to embed the Ai2 Scholar QA functionality in another application

deeppavlov

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

lightrag

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

wdoc

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

happytransformer

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

vectorless

Knowing by reasoning, not vectors.

transformers-keras

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

mzutils

Mohan Zhang's toolkit

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!)

nanoindex

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

farm

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

tevatron

Tevatron: A toolkit for learning and running deep dense retrieval models.

genienlp

GenieNLP: A versatile codebase for any NLP task

factscorelite

FactScore (Fine-grained atomic evaluation of factual precision in long form text generation) computing package.

fast-tokenizer-python

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