Vald - Alternatives & Competitors
Vald
Vald is a cloud-native, highly scalable distributed vector search engine using the NGT algorithm for fast approximate nearest neighbor searches. It features automatic indexing, backup, and horizontal scaling for handling billions of vectors.
Home page: https://vald.vdaas.org

Ranked by Relevance
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1
Qdrant High-Performance Vector Search at Scale
Qdrant is a leading open-source vector database and similarity search engine designed for high-dimensional vectors and massive-scale AI applications. It offers cloud-native scalability, ease of use, cost efficiency, and Rust-powered reliability.
- Freemium
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2
Milvus The High-Performance Vector Database Built for Scale
Milvus is an open-source vector database designed for GenAI applications. It offers high-speed searches and scales to billions of vectors with minimal performance loss.
- Freemium
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3
Zilliz Cloud High-Performance Vector Database Made Serverless.
Zilliz Cloud is a fully-managed vector database service built on Milvus, designed for speed, scalability, and high performance in AI applications.
- Freemium
- From 99$
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4
KDB.AI The Scalable Vector Database for AI
KDB.AI is a scalable vector database designed for building production-grade AI applications, offering high uptime and low latency search capabilities.
- Freemium
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5
CodableAI Your Ultimate Vector Database Platform
CodableAI is a comprehensive vector database platform offering advanced APIs for embedding generation, vector search, and database management. It enables businesses to create real-time AI applications with capabilities for processing up to 80K tokens and managing up to 50 million vectors.
- Contact for Pricing
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6
VectorDB Lightweight Python package for vector search and storage.
VectorDB is a lightweight Python library for efficient text storage and retrieval using vector search. Ideal for low-latency applications requiring semantic search capabilities.
- Free
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7
Weaviate The AI-native database for a new generation of software
Weaviate is an open-source vector database that enables developers to build AI-native applications with improved search capabilities, reduced hallucination, and enhanced data security. It supports hybrid search, RAG, and generative feedback loops.
- Freemium
- From 25$
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8
Meilisearch Refreshingly simple search, enhanced by AI
Meilisearch is a lightning-fast, flexible, and user-focused search engine enhanced by AI, designed for seamless integration into websites and applications.
- Freemium
- From 30$
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9
client-vector-search Embed, store, and search vectors on the client side!
client-vector-search enables developers to implement client-side semantic search using vector embeddings, offering fast computation and search capabilities directly in the browser.
- Freemium
- From 20$
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10
SvectorDB Serverless vector database built for AWS
SvectorDB is a cost-effective serverless vector database specifically designed for AWS that offers pay-per-use pricing and seamless scaling from prototype to production.
- Usage Based
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11
VecRank AI Vector Search + Rerank API with zero infrastructure
VecRank AI offers a scalable, AI-driven search solution with vector search and reranking capabilities. It enhances natural language understanding and contextual relevance for developers and businesses.
- Freemium
- From 9$
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12
Hyperspace Hyper search performance, lower costs
Hyperspace is an elastic compatible cloud-native search database that combines vector and lexical search capabilities, delivering 10x faster performance through custom computing power.
- Freemium
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13
lantern.dev Open-source Postgres vector database and toolkit for building production-ready AI applications
Lantern is a cloud-based vector database solution that extends Postgres with advanced vector search capabilities, embedding generation, and LLM integrations for AI applications.
- Freemium
- From 44$
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