vector-index

#大语言模型#Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, a...

AI-powered Dropbox search tool for private documents

#自然语言处理#Roy: A lightweight, model-agnostic framework for crafting advanced multi-agent systems using large language models.

#计算机科学#Approximate Nearest Neighbor search using reduced-rank regression, with extremely fast queries, tiny memory usage, and rapid indexing on modern vector embeddings.

#向量搜索引擎# Vector Index Benchmark for Embeddings (VIBE) is an extensible benchmark for approximate nearest neighbor search methods, or vector indexes, using modern embedding datasets.

#向量搜索引擎#A Rust binding for the VSAG -- vector indexing and search library.

KNN Search Algorithm Comparison – This project compares the performance of different K-Nearest Neighbors (KNN) search algorithms across various dataset sizes and dimensions.

#自然语言处理#Semantic Desktop Search - search for answers not the file names

A prototype for visualizing and exploring vector document indexes

Streamlit app for a Blender Helper Bot using a pre-built TiDB vector store

Simple, High Quality, RAG application using TiDB vector store