Data & Research · GitHub ·310 ★

RAGLAB

[EMNLP 2024: Demo Oral] RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation

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Details

Author
fate-ubw
Category
Data & Research
Platform
GitHub
Framework
custom
Language
python
Stars
310
First indexed
2026-05-15
Last active
2024-10-18
Directory sync
2026-05-15
@fate-ubw

Overview

[EMNLP 2024: Demo Oral] RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation

Quick start

git

git clone https://github.com/fate-ubw/RAGLAB

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What RAGLAB can do

frameworkllmragresearch
  • Framework — framework task automation.
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Research — Searches sources and synthesises evidence-based answers.

Frequently asked questions

What is RAGLAB?
[EMNLP 2024: Demo Oral] RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation
How do I install RAGLAB?
Use git: `git clone https://github.com/fate-ubw/RAGLAB`. Full setup details on the source page linked above.
Is RAGLAB open source?
RAGLAB is published on GitHub.
What are alternatives to RAGLAB?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for RAGLAB is sourced from GitHub, published by fate-ubw.

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