Best Vearch Alternatives in 2025
-
Use managed or self-hosted vector databases to give LLMs the ability to work on YOUR data & context.
-
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....
-
Weaviate: The open source vector database powering AI apps. Fast vector search with structured filters. Flexible, scalable, production-ready for developers.
-
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.
-
Solve AI hallucinations. Vectorize powers accurate, real-time AI agents & RAG pipelines with all your organizational data, including complex documents.
-
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.
-
Build intelligent search with Vpuna AI. Developer-first vector & semantic search that understands user intent across all your data.
-
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.
-
Discover the client-vector-search library: embed, store, search, and cache vectors effortlessly. Enhance your applications with efficient vector search capabilities.
-
LanceDB: Blazing-fast vector search & multimodal data lakehouse for AI. Unify petabyte-scale data to build & train production-ready AI apps.
-
Supercharge your AI applications with Zilliz's Milvus vector database. Deploy and scale your vector search apps hassle-free with Zilliz Cloud.
-
Build fast, intuitive search with Meilisearch. Open-source, AI-ready, & developer-first. Sub-50ms results. Cloud or self-hosted.
-
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.
-
DeepSearcher: AI knowledge management for private enterprise data. Get secure, accurate answers & insights from your internal documents with flexible LLMs.
-
ApertureDB: Simplify multimodal AI data. Fast vector search, knowledge graphs, data augmentation. Build smarter AI applications faster.
-
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.
-
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!
-
Build powerful AI applications with Supabase Vector. Store, query, and index vector embeddings using Postgres and Supabase's AI toolkit.
-
Search your entire digital life privately with LEANN. The most efficient RAG & semantic search for personal data, 97% less storage, zero cloud fees.
-
TopK is a cloud-native database intended for search use cases. It comes with keyword search, vector search, and metadata filtering built-in.
-
pgvectorscale builds on pgvector with higher performance embedding search and cost-efficient storage for AI applications.
-
Enable every developer to build production-grade GenAI applications with powerful and familiar SQL. Minimal Learning, Max Value, and Cost-Effective.
-
Discover Gerev.ai, the powerful Workplace Search engine. Find information, code resources & colleagues effortlessly. Privacy-focused.
-
HelixDB is a high-performance database system designed with a focus on developer experience and efficient data operations. Built in Rust and powered by LMDB as its storage engine, it combines the reliability of a proven storage layer with modern features tailored for AI and vector-based applications.
-
Video-based AI memory library. Store millions of text chunks in MP4 files with lightning-fast semantic search. No database needed.
-
AI-powered search API. Build scalable search, recommendations & RAG with Trieve. Hybrid search, fine-tuning, & self-hosting options. Try it free!
-
Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.
-
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.