There are 2 repositories under retrieval-systems topic.
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
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"
The sources codes of the DR-BERT model and baselines
Tracked Vehicle Retrieval by NL Challenge in the 2023 AI City Challenge.
Knowledge pills on Neural Search
RAG system with real-time news scraping built using mixtral-8x7b, ChromaDB, bart summarizer
REST API for computing cross-modal similarity between images and text using the ColPaLI vision-language model
Author: Wenhao Yu (wyu1@nd.edu). EMNLP'20. Transfer Learning for Technical Question Answering.
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.
CISI Database Retrieval System with java, lucine and dl4j
Various Indexing and Query Based Retrieval Models and Page-rank Algorithm in Python 3.0
Official github repository of Semantic Labels-Aware Transformer Model for Searching over a Large Collection of Lecture-Slides WACV 2023
using feature maximisation for summarizing scientifc documents
1401/Spring/InformationRetrieval/g5+23
Combine fIne-tuning and retrieval-augmented generation
Retrieval based TF-IDF English and Burmese bilingual chatbot for Covid-19 domain
Codes for master's thesis investigating approaches for building a multilingual, knowledge-grounded dialogue system via cross-task and cross-lingual transfer learning.
Simple Indexer / Documen retrieval program.
Test metric learning with 3D Deep Learning architectures to solve a ShapeRetrieval task
This is the code for our ICCV'19 paper on cross-modal learning and retrieval.
A curated list of Multi-hop RAG
Robust Content Based Image Retreival which utilizes Vision transformer, Colors, Metadata and User Feedbacks for the images uploaded and to retreive images from the system as per user query, using combination of Boolean model and VSM.
TTDS Group Project CW3 at the University of Edinburgh
This project implements advanced image retrieval techniques for Caltech101 dataset, using algorithms like MDS, SVD, DBScan, and Locality Sensitive Hashing (LSH). It focuses on optimizing retrieval accuracy and efficiency through dimensionality reduction, clustering, classification, and relevance feedback, enhancing multimedia search capabilities.
Semantic Image Recommendation System using Maximal Marginal Relevance
MosaicRS is a retrieval system built on top of Mosaic. It allows users to build their own retrieval pipeline and evaluate the results in a pleasing web application.
The web application for the MosaicRAG retrieval system. Featuring a custom pipeline builder and various possibilities to explore the retrieved data.
๐ InterIIT Tech Meet 12.0 | DevRev | Gold Award Winner ๐ | Most efficient high-performance retrieval system โก | Fully optimized with ONNX ๐ | Hybrid retrieval system
Exploring search relevance techniques.