search-engine

18 projetos partilham este topic do GitHub

Linhas conectam membros que estão mensuravelmente relacionados entre si. O tamanho do ponto reflete estrelas.

🧬 Membros

Vane

Vane is an AI-powered answering engine.

★ 36.6k

searxng

SearXNG is a free internet metasearch engine which aggregates results from various search services and…

★ 36.3k

PaddleNLP

Easy-to-use and powerful LLM and SLM library with awesome model zoo.

★ 13k

txtai

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

★ 12.9k

marqo

Ecommerce Search and Discovery - marqo.ai

★ 5k

wigolo

The go-to web for your AI coding agent — local-first search, fetch, crawl & research over MCP. No API keys,…

★ 4.8k

infinity

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector,…

★ 4.7k

USearch

Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C, Python,…

★ 4.3k

farfalle

🔍 AI search engine - self-host with local or cloud LLMs

★ 3.5k

swirl-search

AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps…

★ 3k

trieve

All-in-one platform for search, recommendations, RAG, and analytics offered via API

★ 2.7k

SeekStorm

SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.

★ 1.9k

hister

Your own search engine

★ 1.7k

SearchCLI

Open CLI for integrating AI search, recommendation, and conversational retrieval into agent systems and…

★ 1.2k

ai-powered-search

The codebase for the book "AI-Powered Search" (Manning Publications, 2025) and associated "AI-Powered Search:…

★ 404

Yuno

Yuno is context based search engine for anime.

★ 381

nanoPerplexityAI

The simplest open-source implementation of perplexity.ai

★ 335

VectorRAG.Net

VectorRAG.Net is a .NET-native high-performance vector database library for semantic search and RAG…

★ 163

Medido a partir dos tópicos do GitHub compartilhados por ambos os projetos, ponderado pela raridade de cada tópico.