information-retrieval

20 proyectos comparten este topic de GitHub

Las líneas conectan a los miembros que están mediblemente relacionados entre sí. El tamaño de los puntos refleja las estrellas.

🧬 Miembros

FlagEmbedding

Retrieval and Retrieval-augmented LLMs

★ 12k

colpali

The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.

★ 2.7k

bm25s

Fast BM25 search in Python, powered by Numpy and Numba

★ 1.7k

rag-fusion

RAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation.…

★ 946

pylate

Late Interaction Models Training & Retrieval

★ 875

sgpt

SGPT: GPT Sentence Embeddings for Semantic Search

★ 872

s3

[EMNLP'25] s3 - ⚡ Efficient & Effective Search Agent Training via RL for RAG (RLVR for Search with Minimal…

★ 842

RAG-FiT

Framework for enhancing LLMs for RAG tasks using fine-tuning.

★ 769

DeepRetrieval

[COLM’25] DeepRetrieval — 🔥 Training Search Agent by RLVR with Retrieval Outcome

★ 715

Rankify

🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation…

★ 680

RankGPT

Is ChatGPT Good at Search? LLMs as Re-Ranking Agent [EMNLP 2023 Outstanding Paper Award]

★ 669

cdQA

⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.

★ 617

AnglE

Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard

★ 573

agent-search

AgentSearch is a framework for powering search agents and enabling customizable local search.

★ 541

LLM4IR-Survey

This is the repo for the survey of LLM4IR.

★ 540

continuous-eval

Data-Driven Evaluation for LLM-Powered Applications

★ 516

antfly

★ 417

adaptive-chunking

Adaptive Chunking: automatically select the best chunking method per document for RAG. Accepted at LREC 2026.

★ 375

gpl

Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields…

★ 343

stark

(NeurIPS D&B 2024) STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases

★ 336

Medido a partir de los temas de GitHub compartidos por ambos proyectos, ponderado por cuán raros son cada uno de los temas.