Best Clientvectorsearch Alternatives in 2025
-
Build vector search and hybrid search with Elasticsearch's open source vector database — from the leaders in BM25 text search. Try Elasticsearch's vector database, free....
-
pgvector: An open-source vector similarity search tool for Postgres. Store vectors with data, support exact & approximate search, and perform distance calculations. Suitable for recommendation systems, image/text retrieval, and anomaly detection.
-
Vearch: Hybrid vector search database. Combine similarity & scalar filters for precise AI results. Scale effortlessly. Python/Go SDKs.
-
Use managed or self-hosted vector databases to give LLMs the ability to work on YOUR data & context.
-
PGVecto.rs is a Postgres extension that enables scalable vector search, allowing you to build powerful similarity-based applications on top of your Postgres database.
-
VectorDB is a simple, lightweight, fully local, end-to-end solution for using embeddings-based text retrieval.
-
VectorChord is a high-performance PostgreSQL extension for vector similarity search. Enhanced speed, scalability & affordability. Ideal for e-commerce, research & media.
-
SvectorDB allows you to set up a serverless vector database in under 120 seconds, perfect for RAG chatbots, document search, and recommendations.
-
Build powerful AI applications with Supabase Vector. Store, query, and index vector embeddings using Postgres and Supabase's AI toolkit.
-
pgvectorscale builds on pgvector with higher performance embedding search and cost-efficient storage for AI applications.
-
Discover Milvus, the popular vector database for enterprise users. Store, index, and manage large-scale embedding vectors with ease. Boost retrieval speed and create similarity search services using Milvus' advanced SDKs and indexing algorithms. Perfect for machine learning deployments and managing large-scale vector datasets.
-
TopK is a cloud-native database intended for search use cases. It comes with keyword search, vector search, and metadata filtering built-in.
-
Solve AI hallucinations. Vectorize powers accurate, real-time AI agents & RAG pipelines with all your organizational data, including complex documents.
-
FastEmbed is a lightweight, fast, Python library built for embedding generation. We support popular text models. Please open a Github issue if you want us to add a new model.
-
Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.
-
Supercharge your AI applications with Zilliz's Milvus vector database. Deploy and scale your vector search apps hassle-free with Zilliz Cloud.
-
Vald: A scalable, high-performance AI search engine for recommendation systems, translation, and image recognition tasks. Automate indexing and enhance search capabilities with Vald.
-
Discover how Analytics to Elevate Semantic Search can optimize embedded documents, improve search results, and enhance user experiences.
-
LanceDB: Blazing-fast vector search & multimodal data lakehouse for AI. Unify petabyte-scale data to build & train production-ready AI apps.
-
Lantern is a Postgres vector database that is scalable, cost-effective, and easy to use
-
Build fast, intuitive search with Meilisearch. Open-source, AI-ready, & developer-first. Sub-50ms results. Cloud or self-hosted.
-
Save hundreds of hours wrangling vector data and thousands in embedding costs.The universal vector database management system.
-
Pinecone is the leading AI infrastructure for building accurate, secure, and scalable AI applications. Use Pinecone Database to store and search vector data at scale, or start with Pinecone Assistant to get a RAG application running in minutes.
-
Create stunning vector illustrations and SVGs effortlessly with PlusVector. No design skills needed. Try AI-powered PlusVector today!
-
Explore the power of Faiss, a library for efficient similarity search and clustering of vectors. GPU acceleration and advanced methods included.
-
Chroma: Open-source vector database with a user-friendly API for document management and efficient queries. Perfect for content recommendation and similarity search.
-
Infinity is a cutting-edge AI-native database that provides a wide range of search capabilities for rich data types such as dense vector, sparse vector, tensor, full-text, and structured data. It provides robust support for various LLM applications, including search, recommenders, question-answering, conversational AI, copilot, content generation, and many more RAG (Retrieval-augmented Generation) applications.
-
Spykio: Get truly relevant LLM answers. Context-aware retrieval beyond vector search. Accurate, insightful results.
-
Qdrant is a vector database for storing, searching, and managing high - dimensional vectors. It offers efficient storage, fast similarity search, scalability, and rich API. Ideal for AI, ML, and NLP applications. Click to learn more!
-
OceanBase seekdb is an open-source, AI-native search database that unifies relational, vector, text, JSON and GIS in a single engine, enabling hybrid search and in-database AI workflows.