Vald
Cloud-native distributed vector search engine
Vald is a highly scalable distributed vector search engine designed to run on Kubernetes for approximate nearest neighbor search over billions of vectors. It is used for similarity search in recommendation and AI applications.
Key features
- Distributed vector search
- Kubernetes-native
- Billion-scale indexes
- Approximate nearest neighbor
Strengths
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Active community (1.7k GitHub stars)
Vald replaces
Compare Vald
31 head-to-head comparisons.
- Vald vs Elasticsearch
- Vald vs Meilisearch
- Vald vs Milvus
- Vald vs Perplexica
- Vald vs SearXNG
- Vald vs Qdrant
- Vald vs Cognee
- Vald vs Chroma
- Vald vs Typesense
- Vald vs Sonic
- Vald vs OpenObserve
- Vald vs ZincSearch
- Vald vs Weaviate
- Vald vs Tantivy
- Vald vs OpenSearch
- Vald vs txtai
- Vald vs Manticore Search
- Vald vs Quickwit
- Vald vs Sonic Note Meili-alt Bleve
- Vald vs LanceDB
- Vald vs Orama
- Vald vs Lunr.js
- Vald vs ParadeDB
- Vald vs Vespa
- Vald vs RediSearch
- Vald vs Pagefind
- Vald vs Marqo
- Vald vs Infinity
- Vald vs Lucene Note Solr-alt Toshi
- Vald vs Pyserini Search
- Vald vs VictoriaLogs
Similar search engines apps
Elasticsearch
Search EnginesDistributed search and analytics engine
Replaces Algolia, Splunk
Meilisearch
Search EnginesFast, typo-tolerant search engine for applications
Replaces Algolia, Elasticsearch
Milvus
Search EnginesOpen-source vector database built for scalable similarity search
Replaces Pinecone, Elasticsearch
Perplexica
Search EnginesOpen-source AI-powered search engine
Replaces Google Search
SearXNG
Search EnginesPrivacy-respecting metasearch engine aggregating many sources
Replaces Google Search, Bing
Qdrant
Search EnginesHigh-performance open-source vector search engine
Replaces Pinecone, Algolia