Semantic search vector data tool - AI tools
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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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Embedditor Open-source MS Word equivalent for embedding to enhance your vector search
Embedditor is an open-source embedding tool designed to optimize metadata and tokens for more efficient and accurate vector search in large language models (LLMs).
- Free
- API
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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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VectorAdmin The frontend of vector databases.
VectorAdmin offers a universal user interface and tool suite for managing vector databases used in LLM applications, simplifying data handling and reducing embedding costs.
- Freemium
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summary.arguflow.gg AI search for the modern world
Trieve provides AI-powered search, discovery, and RAG experiences within a single API. It offers semantic vector search, full-text search, and hybrid search capabilities for enhanced discovery.
- Free
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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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Trieve AI search for the modern world
Trieve is an end-to-end AI-powered search and discovery platform that offers semantic vector search, hybrid search capabilities, and RAG experiences through a unified API.
- Freemium
- From 25$
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TopK Embeddings + database + ranking in a single API.
TopK provides a unified API for embeddings, database management, and ranking, simplifying complex search stack implementations for developers.
- Contact for Pricing
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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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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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Quasara 'Synapsis' The vectorisation engine that turns visual data into vector embeddings.
Quasara 'Synapsis' is a vectorization engine that transforms visual data into vector embeddings. It's designed for applications in autonomous driving, infrastructure inspection, earth observation, and manufacturing.
- Contact for Pricing
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Embed API Create Custom Embeddings for Your Data
Embed API offers an API for generating custom vector embeddings from text, images, and audio, designed to enhance AI applications and LLM performance.
- Freemium
- From 29$
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Pinecone The Vector Database for Building Accurate and Performant AI Applications
Pinecone is a leading vector database designed for creating and scaling high-performance, accurate AI applications. It offers a fully managed, scalable infrastructure for managing vector embeddings.
- Freemium
- From 25$
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