stanford-futuredata / ARESLinks
Automated Evaluation of RAG Systems
β660Updated 6 months ago
Alternatives and similar repositories for ARES
Users that are interested in ARES are comparing it to the libraries listed below
Sorting:
- Evaluate your LLM's response with Prometheus and GPT4 π―β996Updated 5 months ago
- The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrievalβ1,427Updated last year
- RAGChecker: A Fine-grained Framework For Diagnosing RAGβ996Updated 9 months ago
- RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.β539Updated last week
- Repository for "MultiHop-RAG: A Dataset for Evaluating Retrieval-Augmented Generation Across Documents" (COLM 2024)β375Updated 6 months ago
- Code for explaining and evaluating late chunking (chunked pooling)β452Updated 9 months ago
- β895Updated 11 months ago
- This is an implementation of the paper: Searching for Best Practices in Retrieval-Augmented Generation (EMNLP2024)β336Updated 9 months ago
- Corrective Retrieval Augmented Generationβ411Updated last year
- A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.β1,547Updated 4 months ago
- SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Modelsβ567Updated last year
- A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.β793Updated 2 months ago
- Fine-Tuning Embedding for RAG with Synthetic Dataβ510Updated 2 years ago
- Forward-Looking Active REtrieval-augmented generation (FLARE)β654Updated last year
- The official repository for the paper: Evaluation of Retrieval-Augmented Generation: A Survey.β178Updated 5 months ago
- Efficient Retrieval Augmentation and Generation Frameworkβ1,728Updated 9 months ago
- RefChecker provides automatic checking pipeline and benchmark dataset for detecting fine-grained hallucinations generated by Large Languaβ¦β393Updated 4 months ago
- [EMNLP 2024: Demo Oral] RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generationβ308Updated 11 months ago
- HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labelsβ555Updated 10 months ago
- Comprehensive benchmark for RAGβ219Updated 3 months ago
- Is ChatGPT Good at Search? LLMs as Re-Ranking Agent [EMNLP 2023 Outstanding Paper Award]β639Updated last year
- Fast lexical search implementing BM25 in Python using Numpy, Numba and Scipyβ1,346Updated last month
- Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and croβ¦β864Updated 3 weeks ago
- Official Implementation of "Multi-Head RAG: Solving Multi-Aspect Problems with LLMs"β228Updated last week
- Automatically evaluate your LLMs in Google Colabβ661Updated last year
- Easily embed, cluster and semantically label text datasetsβ578Updated last year
- This package, developed as part of our research detailed in the Chroma Technical Report, provides tools for text chunking and evaluation.β¦β425Updated 6 months ago
- Generative Representational Instruction Tuningβ673Updated 3 months ago
- TAG-Bench: A benchmark for table-augmented generation (TAG)β757Updated 6 months ago
- Official repo for "LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs".β240Updated last year