Qdrant Alternatives

Scalable vector search engine for high-performance similarity search, optimized for large-scale AI workloads with cloud-native architecture and zero-downtime upgrades.
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Pinecone

If you're looking for a Qdrant alternative, Pinecone is a good option. Pinecone is designed as a serverless service for fast query and retrieval, and it scales automatically with no database administration required. It supports low-latency vector search, real-time indexing and hybrid search for high recall and fast query times. Pinecone also offers a range of pricing options, including a free starter plan, for a variety of use cases.

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Vespa

Another option is Vespa, which combines a unified search engine and vector database for searching in vector, lexical and structured data. It's geared for building production-ready search applications at any scale, with integration with a range of machine learning tools and scalable model inference. Vespa also supports auto-elastic data management for high performance and low latency, and you can try it for free to get started.

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DataStax

DataStax offers a powerful generative AI stack built on Astra DB, a popular vector database. It's designed for fast response time and high relevance, and supports both vector and structured data for secure and scalable operations. With features like Vector Search for high-throughput and built-in integrations with AI ecosystem tools, DataStax is a good choice for generative AI applications and chatbots, with pay-as-you-go pricing for projects of any size.

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Elastic

If you want a search and AI foundation, you might want to check out Elastic. Elastic offers a range of products including vector search, generative AI and AI-powered security analytics. It's used in many industries, and offers a free trial and flexible pricing plans. By using Elastic, companies can speed business outcomes, simplify data insights and improve search, all while improving operational efficiency.

More Alternatives to Qdrant

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OpenSearch

Build scalable, high-performance search solutions with out-of-the-box performance, machine learning integrations, and powerful analytics capabilities.

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Vectorize

Convert unstructured data into optimized vector search indexes for fast and accurate retrieval augmented generation (RAG) pipelines.

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LlamaIndex

Connects custom data sources to large language models, enabling easy integration into production-ready applications with support for 160+ data sources.

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Trieve

Combines language models with ranking and relevance fine-tuning tools to deliver exact search results, with features like private managed embeddings and hybrid search.

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Neum AI

Build and manage data infrastructure for Retrieval Augmented Generation and semantic search with scalable pipelines and real-time vector embeddings.

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Couchbase

Unlocks high-performance, flexible, and cost-effective AI-infused applications with a memory-first architecture and AI-assisted coding.

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SingleStore

Combines transactional and analytical capabilities in a single engine, enabling millisecond query performance and real-time data processing for smart apps and AI workloads.

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VectorShift

Build and deploy AI-powered applications with a unified suite of no-code and code tools, featuring drag-and-drop components and pre-built pipelines.

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Neo4j

Analyze complex data with a graph database model, leveraging vector search and analytics for improved AI and ML model performance at scale.

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Anyscale

Instantly build, run, and scale AI applications with optimal performance and efficiency, leveraging automatic resource allocation and smart instance management.

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Algolia

Delivers fast, scalable, and personalized search experiences with AI-powered ranking, dynamic re-ranking, and synonyms for more relevant results.

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Airtrain AI

Experiment with 27+ large language models, fine-tune on your data, and compare results without coding, reducing costs by up to 90%.

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Xata

Serverless Postgres environment with auto-scaling, zero-downtime schema migrations, and AI integration for vector embeddings and personalized experiences.

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Baseplate

Links and manages data for Large Language Model tasks, enabling efficient embedding, storage, and versioning for high-performance AI app development.

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EDB Postgres AI

Unifies transactional, analytical, and AI workloads on a single platform, with native AI vector processing, analytics lakehouse, and unified observability.

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Supabase

Build production-ready apps with a scalable Postgres database, instant APIs, and integrated features like authentication, storage, and vector embeddings.

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Airbyte

Seamlessly integrate data from 300+ sources to destinations, with features like custom connector building, unstructured data extraction, and automated schema evolution.

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Zilliz

Streamlines billion-scale vector search applications with a fully managed service, offering high performance, scalability, and security for large-scale vector data.

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Milvus

Rapidly create and search high-dimensional vector collections with minimal performance impact, scaling to billions of vectors with a distributed architecture.

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Neon

Instantly provision and autoscale databases with lightning-fast queries, branching, and point-in-time recovery, freeing developers to focus on application code.