Vespa
The AI search platform for fast, accurate RAG and recommendations
★ 6,976 GitHub
Apache-2.0 search-enginevector-searchragrecommendationai-searchvector-databasesemantic-search RAG & Knowledge
Overview
Vespa is the AI-powered search engine built for large-scale RAG, personalization, and recommendation systems. With 7k+ GitHub stars and years of production use at Yahoo, it combines vector search, tensor evaluation, and machine-learned model serving in a single platform. Vespa supports advanced features like real-time indexing, approximate nearest neighbor (ANN) search, multi-vector ranking with transformer models, grouping, and distributed serving across data centers. It is used by companies like Spotify, Wix, and Qwant for search, recommendations, and AI-powered data applications.
Requirements
Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB
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Affiliate disclosure
Docker Compose
# Generated by Run This Ai — docker-compose.yml
services:
vespa:
image: vespaengine/vespa:latest
restart: unless-stopped
ports:
- 8080:8080
volumes:
- ./data/vespa:/data
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