The most advanced AI retrieval system. Containerized, Retrieval-Augmented Generation (RAG) with a RESTful API.

A curated list of retrieval-augmented generation (RAG) in large language models

[EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"

[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"

The sources codes of the DR-BERT model and baselines

简版文本对话/问答系统

Tracked Vehicle Retrieval by NL Challenge in the 2023 AI City Challenge.

Knowledge pills on Neural Search

js client for R2R: production-ready RAG engine with a sh*t ton of features.

Author: Wenhao Yu (wyu1@nd.edu). EMNLP'20. Transfer Learning for Technical Question Answering.

RAG system with real-time news scraping built using mixtral-8x7b, ChromaDB, bart summarizer

vitrivr's next-generation retrieval engine. It is capable of extracting and retrieving a wider range of multimedia objects such as audio, video, images or 3d models.

Large-scale user portarit ranking and generation augmented retrieval systems.

REST API for computing cross-modal similarity between images and text using the ColPaLI vision-language model

Official github repository of Semantic Labels-Aware Transformer Model for Searching over a Large Collection of Lecture-Slides WACV 2023

Various Indexing and Query Based Retrieval Models and Page-rank Algorithm in Python 3.0

CISI Database Retrieval System with java, lucine and dl4j

Combine fIne-tuning and retrieval-augmented generation

using feature maximisation for summarizing scientifc documents

1401/Spring/InformationRetrieval/g5+23