Chroma DB vector database, with embedding and reranker models to implement a Retrieval Augmented Generation (RAG) system.

MTEB: Massive Text Embedding Benchmark

Alpaca, Bloom, DeciLM, Falcon, Vicuna, Llama2, Zephyr, Mistral(MoE), RAG, Reranking, Langchain, Langsmith..

Querying local documents, powered by LLM

Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.

Reranking from scratch using sentence-transformer, BM25, Cohere and Cross-Encoders !!!

The phenomenon refers to the degradation of model performance on tokens in the middle of long sequences, where the model tends to focus more on the beginning and end tokens, losing context in the middle.

Enhance the performance and cost-efficiency of large-scale Retrieval Augmented Generation (RAG) applications. Learn to integrate vector search with traditional database operations and apply techniques like prefiltering, postfiltering, projection, and prompt compression.

Library for plotting multiple ranks evolved over processing steps - draw a rankflow/bump chart

mixedbread ai python sdk

This repository is dedicated to exploring and implementing vector-based retrieval methods and reranking algorithms. It includes Jupyter notebooks with practical examples and code snippets that demonstrate how these techniques can be applied for efficient information retrieval in various datasets.

An Unsupervised Distance Learning Framework for Multimedia Retrieval

Advanced RAG pipeline using Re-Ranking after initial retrieval

Exploring search relevance techniques.

임베딩(SentenceTransformer) 및 재순위화(Re-Ranking)

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

This repository showcases a comprehensive approach to information retrieval, document re-ranking, and language model integration. It incorporates techniques such as document chunking, embedding projection, and automatic query expansion to enhance the effectiveness of information retrieval systems.

Who's that Pokemon (card)? Search over more than 10K Pokemon cards to find out the coolest one yet! ✨

A flask-based cbir system