ai-search
15 proyectos comparten este topic de GitHub
Las líneas conectan a los miembros que están mediblemente relacionados entre sí. El tamaño de los puntos refleja las estrellas.
🧬 Miembros
firecrawl
Supercharge your AI agents with data from the web and beyond. Building the library for superintelligence. 🔥
★ 195.7k
Agent-Reach
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili,…
★ 102.5k
qdrant
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of…
★ 33.4k
Scrapegraph-ai
Python scraper based on AI
★ 32.3k
swirl-search
AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps…
★ 3k
anysearch-mcp-server
Unified real-time search MCP server supporting general web search, vertical domain search, parallel batch…
★ 2.1k
SeekStorm
SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.
★ 1.9k
omnibox
Anywhere, anything to memory, memory to anything.
★ 1.5k
endee
Endee.io – A high-performance vector database, designed to handle up to 1B vectors on a single node,…
★ 1.3k
SearchCLI
Open CLI for integrating AI search, recommendation, and conversational retrieval into agent systems and…
★ 1.2k
chat-with-your-data-solution-accelerator
A Solution Accelerator for the RAG pattern running in Azure, using Azure AI Search for retrieval and Azure…
★ 1.2k
fess
Open-source, self-hosted enterprise & site search server built on OpenSearch. Crawls web / file / DB / cloud…
★ 1.1k
codex-seo
Codex-first SEO skill suite. 26 workflows, 24 TOML agents, DataForSEO/Gemini/Google/Firecrawl integrations,…
★ 826 · GitHub ↗
DeepRetrieval
[COLM’25] DeepRetrieval — 🔥 Training Search Agent by RLVR with Retrieval Outcome
★ 719
OpenDocuments
Self-hosted RAG platform for AI document search across GitHub, Notion, Google Drive, local files, and web…
★ 121
🔗 Familias relacionadas
Medido a partir de los temas de GitHub compartidos por ambos proyectos, ponderado por cuán raros son cada uno de los temas.