Best Lantern Alternatives in 2025
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pgvectorscale builds on pgvector with higher performance embedding search and cost-efficient storage for AI applications.
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LanceDB: Blazing-fast vector search & multimodal data lakehouse for AI. Unify petabyte-scale data to build & train production-ready AI apps.
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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.
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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.
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Build powerful AI applications with Supabase Vector. Store, query, and index vector embeddings using Postgres and Supabase's AI toolkit.
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VectorChord is a high-performance PostgreSQL extension for vector similarity search. Enhanced speed, scalability & affordability. Ideal for e-commerce, research & media.
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AlloyDB AI is an integrated set of capabilities built into AlloyDB for PostgreSQL, designed to help
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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.
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Combine the power of PostgreSQL with machine learning using PostgresML. Seamlessly integrate ML models, perform predictive analytics, analyze text data, and build recommendation systems.
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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.
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VectorDB is a simple, lightweight, fully local, end-to-end solution for using embeddings-based text retrieval.
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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....
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Neon: Serverless Postgres for developers. Instant branches, autoscaling, & pgvector support. Build & scale AI apps faster.
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Use managed or self-hosted vector databases to give LLMs the ability to work on YOUR data & context.
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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.
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Save hundreds of hours wrangling vector data and thousands in embedding costs.The universal vector database management system.
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Search your entire digital life privately with LEANN. The most efficient RAG & semantic search for personal data, 97% less storage, zero cloud fees.
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Vearch: Hybrid vector search database. Combine similarity & scalar filters for precise AI results. Scale effortlessly. Python/Go SDKs.
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Discover the client-vector-search library: embed, store, search, and cache vectors effortlessly. Enhance your applications with efficient vector search capabilities.
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GPTCache uses intelligent semantic caching to slash LLM API costs by 10x & accelerate response times by 100x. Build faster, cheaper AI applications.
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Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.
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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!
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FalkorDB: Ultra-fast graph database. Achieve accurate GenAI with GraphRAG, eliminate LLM hallucinations, & scale 10K+ tenants with zero overhead.
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Supercharge your AI applications with Zilliz's Milvus vector database. Deploy and scale your vector search apps hassle-free with Zilliz Cloud.
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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.
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Solve AI hallucinations. Vectorize powers accurate, real-time AI agents & RAG pipelines with all your organizational data, including complex documents.
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OneNode: Unified backend for AI/LLM apps. Combine DB, vector search, storage & jobs. Build faster, focus on features. MongoDB compatible.
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With postgres.new, you can instantly spin up an unlimited number of Postgres databases that run directly in your browser.
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ApertureDB: Simplify multimodal AI data. Fast vector search, knowledge graphs, data augmentation. Build smarter AI applications faster.
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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.