Topics / #question-answering

Question-answering projects on GitHub

NLP systems that return direct answers to natural language questions.

As of October 17, 2026, the most-starred Question-answering projects on GitHub are funNLP (83K stars), LightRAG (40.2K stars) and bert (40K stars). GitHub.Locker tracks 16 Question-answering repositories with 392.3K stars combined. The fastest-growing on October 16 was WeKnora, with +169 stars in a day.

16Projects

392.3KStars in total

+249Stars in a day

Browse in the catalog →github.com/topics/question-answering ↗

Hot right now

Most stars gained in a day · Oct 16

+169

WeKnora

Tencent/WeKnora · ★ 34.4K

WeKnora is an open-source, self-hosted knowledge platform that turns raw documents into a queryable RAG knowledge base, an autonomous ReAct agent, and a self-maintaining Wiki with an interactive knowledge graph.

+34

funNLP

fighting41love/funNLP · ★ 83K

A huge curated collection of Chinese NLP resources: corpora, lexicons, tools, datasets and courses. The README calls it 'The Most Powerful NLP-Weapon Arsenal' — nearly the most complete Chinese NLP resource library.

+19

LightRAG

HKUDS/LightRAG · ★ 40.2K

LightRAG is an open-source, graph-based RAG framework (EMNLP 2025) by HKUDS. It indexes your documents into a knowledge graph plus vector embeddings so you can query them — a lighter, faster alternative to Microsoft GraphRAG.

+10

graphrag

microsoft/graphrag · ★ 36.4K

GraphRAG is Microsoft's data pipeline that extracts structured knowledge from your unstructured text documents using LLMs, builds a knowledge graph from it, and uses that graph as targeted context so an LLM can answer questions about your private data more accurately.

The all-time top

16 projects · by stars

#1 · fighting41love/funNLP
funNLP
A huge curated collection of Chinese NLP resources: corpora, lexicons, tools, datasets and courses. The README calls it 'The Most Powerful NLP-Weapon Arsenal' — nearly the most complete Chinese NLP resource library.
83K
#2 · HKUDS/LightRAG
LightRAG
LightRAG is an open-source, graph-based RAG framework (EMNLP 2025) by HKUDS. It indexes your documents into a knowledge graph plus vector embeddings so you can query them — a lighter, faster alternative to Microsoft GraphRAG.
40.2K
#3 · google-research/bert
bert
Google's official TensorFlow implementation of BERT together with pre-trained checkpoints — a method for pre-training language representations that set state-of-the-art results on a wide range of NLP tasks, from SQuAD question answering to natural language inference.
40K

4
graphrag
36.4Kmicrosoft/graphrag · Python
GraphRAG is Microsoft's data pipeline that extracts structured knowledge from your unstructured text documents using LLMs, builds a knowledge graph from it, and uses that graph as targeted context so an LLM can answer questions about your private data more accurately.
5
WeKnora
34.4KTencent/WeKnora · Go
WeKnora is an open-source, self-hosted knowledge platform that turns raw documents into a queryable RAG knowledge base, an autonomous ReAct agent, and a self-maintaining Wiki with an interactive knowledge graph.
6
FastGPT
29.8Klabring/FastGPT · TypeScript
FastGPT is an AI agent building platform: a knowledge-based platform on top of LLMs with out-of-the-box data processing, model calling, RAG retrieval and visual workflow orchestration, aimed at building complex question-answering systems without heavy setup.
7
kotaemon
25.8KCinnamon/kotaemon · Python
Kotaemon is an open-source RAG tool for chatting with your documents: a clean web UI where you ask questions about your own files, serving both end users and developers.
8
NLP-progress
23Ksebastianruder/NLP-progress · Python
A curated, community-maintained document that tracks progress in Natural Language Processing: it lists the standard datasets and the current state-of-the-art results for most common NLP tasks across many languages.
9
awesome-nlp
19.1Kkeon/awesome-nlp
A curated list of resources dedicated to Natural Language Processing — research hubs, tutorials, courses, books, libraries, datasets, and task methods, collected as links with one-line descriptions.
10
lectures
15.9Koxford-cs-deepnlp-2017/lectures
The lecture slides and course description for the Deep Natural Language Processing course offered in Hilary Term 2017 at the University of Oxford: an advanced, applied NLP course organised by Phil Blunsom and delivered in partnership with the DeepMind Natural Language Research Group.
11
QAnything
14.2Knetease-youdao/QAnything · Python
A local knowledge base question-answering system: load your own documents into it and ask questions — you get accurate answers drawn from your files instead of the open web.
12
PaddleNLP
13KPaddlePaddle/PaddleNLP · Python
PaddleNLP is a large language model (LLM) and small language model (SLM) development toolkit built on the PaddlePaddle deep learning framework, offering efficient training, lossless compression, and high-performance inference for large models.
13
ParlAI
10.6Kfacebookresearch/ParlAI · Python
ParlAI is a Python framework from Facebook (Meta) AI Research for sharing, training, and evaluating dialogue AI models, covering everything from open-domain chitchat to task-oriented dialogue and visual question answering, with over 100 datasets available through one unified API.
14
MSA
3.5KEverMind-AI/MSA · Python
MSA (Memory Sparse Attention) is an end-to-end trainable, scalable latent-memory framework that lets LLMs handle context windows up to 100M tokens, replacing RAG or fixed-size RNN-style memory with a differentiable sparse-attention memory bank.
15
vault-ai
3.4Kpashpashpash/vault-ai · JavaScript
OP Vault gives ChatGPT long-term memory over your own documents: you upload a knowledge base of books, letters or PDFs and ask questions about their contents, powered by OpenAI and the Pinecone vector database.
16
LLMSearchRecommender
124alopatenko/LLMSearchRecommender
A curated compendium of research papers, surveys, and industry engineering practices on using Generative AI and LLMs to build search engines, recommender systems, personalization engines, and question-answering systems.