Best Turbopuffer Alternatives in 2025
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TopK is a cloud-native database intended for search use cases. It comes with keyword search, vector search, and metadata filtering built-in.
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Turso is a database platform that takes the embedded libSQL database engine and makes it suitable for production-scale, distributed applications. It adds capabilities like replication, branching, point-in-time recovery, native vector search, and programmatic management via an API, while retaining the familiar SQLite developer experience.
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TurboSeek is an AI-powered search engine, leveraging Bing API and advanced models. It offers natural language understanding, advanced results, speed, related questions, and open source collaboration. Ideal for research, tech problem-solving and content creation.
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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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Build intelligent search with Vpuna AI. Developer-first vector & semantic search that understands user intent across all your data.
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Elevate your business by using your data to power AI bots. Provide rich and up-to-date context to your LLM apps using our fully-managed data pipeline.
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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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Captain: Deterministic, 95% accurate insights from enterprise data. Replace unreliable RAG with ultra-fast, verifiable context retrieval.
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Asimov is a foundational AI search platform that enables developers to build powerful semantic search capabilities for AI agents and applications. It provides vector-based semantic search, content management with automatic chunking and embedding, and usage tracking with tiered limits.
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Add powerful, multi-tenant AI search to your app fast! LiquidIndex handles the backend, so you don't have to.
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AgentDB: Instant, serverless database for AI applications. Scale autonomous agents with zero-setup provisioning, built-in vector search & optimized costs.
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DeepSearcher: AI knowledge management for private enterprise data. Get secure, accurate answers & insights from your internal documents with flexible LLMs.
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Build fast, intuitive search with Meilisearch. Open-source, AI-ready, & developer-first. Sub-50ms results. Cloud or self-hosted.
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Neon: Serverless Postgres for developers. Instant branches, autoscaling, & pgvector support. Build & scale AI apps faster.
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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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OneNode: Unified backend for AI/LLM apps. Combine DB, vector search, storage & jobs. Build faster, focus on features. MongoDB compatible.
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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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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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Power real-time apps & AI with Redis Enterprise. Sub-millisecond latency, multi-model data, & seamless scalability. Get started today!
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Frustrated with the accuracy of vector-based RAG on long professional documents?You need a reasoning-native RAG system without vector DBs.
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CapybaraDB streamlines data management for AI apps. Built on MongoDB and Pinecone, it offers features like EmbJSON for semantic search, async processing, and native multi - modal support. Simplify AI development, reduce costs, and manage diverse data easily.
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Dcup: Open-source, self-hostable RAG platform for developers. Connect AI apps to private data & automate the RAG pipeline easily.
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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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ApertureDB: Simplify multimodal AI data. Fast vector search, knowledge graphs, data augmentation. Build smarter AI applications faster.
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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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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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Vearch: Hybrid vector search database. Combine similarity & scalar filters for precise AI results. Scale effortlessly. Python/Go SDKs.
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Memgraph: High-velocity graph database for real-time AI & analytics. Power LLMs with context-rich GraphRAG & C++ speed for instant insights.
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Aerospike is a distributed NoSQL database with blazing-fast reads/writes and unmatched uptime.
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AI-powered search API. Build scalable search, recommendations & RAG with Trieve. Hybrid search, fine-tuning, & self-hosting options. Try it free!