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TopK

About TopK
TopK is an AI-native search engine and document database designed for enterprise and development teams building production-grade retrieval systems. It supports hybrid search in a single composable query, merging vector similarity, keyword (BM25) matching, metadata filtering, and faceted search for precise retrieval and ranking. The platform enables multi-vector, multi-modal indexing with unlimited vector representations per document across text, images, video, and audio. TopK is engineered for high performance at scale, handling millions of documents with sub-10ms latency at high query-per-second rates and high write throughput for demanding workloads. It offers integration options for production stacks, including SDKs for Python, JavaScript, and Rust, as well as connectors for Postgres, MongoDB, and Kafka. TopK targets predictable performance and cost for web-scale, multi-tenant enterprise deployments by combining dense and sparse retrieval with filtering and custom scoring in a unified query model.
Key features
- Hybrid search combining vector similarity and keyword matching
- Multi-vector, multi-modal indexing for text, images, video, and audio
- Sub-10ms latency at high query-per-second rates
- Metadata filtering and faceted search for fine-grained retrieval
- SDKs for Python, JavaScript, and Rust
- Connectors for Postgres, MongoDB, and Kafka
- High write throughput for demanding workloads
- Single composable query for hybrid search
- Custom scoring and ranking capabilities
- Designed for millions of documents at scale
Use cases
- Building production-grade retrieval systems for AI applications
- Enterprise search and document analysis at scale
- Multi-modal data indexing for diverse content types
Pros
- Supports hybrid search combining vector similarity, keyword matching, metadata filtering, and faceted search in a single query
- Enables multi-vector, multi-modal indexing with unlimited vector representations per document across text, images, video, and audio
- Engineered for high performance at scale with sub-100ms latency at billion-scale and high write throughput
- Offers integration options for production stacks including SDKs for Python, JavaScript, Rust, and SQL compatibility
- Built with enterprise security in mind, including encryption at rest and in transit, role-based access control, and audit logging
Cons
- Requires technical expertise to configure and optimize for specific use cases
- Private deployment options may involve additional setup and maintenance overhead
- Cost predictability depends on usage patterns and infrastructure choices
Frequently asked questions about TopK
What is TopK and what does it do?
TopK is an AI-native search engine and document database designed for accuracy-critical applications. It integrates retrieval, inference, and document processing to support hybrid search over structured and unstructured data in a single platform.
Who should use TopK?
TopK is suitable for enterprise and development teams building production-grade retrieval systems, including those working with RAG, semantic search, recommendation systems, or agent memory solutions.
How does TopK handle hybrid search?
TopK combines dense and sparse vector search, keyword matching (BM25), metadata filtering, and custom scoring in a single composable query to optimize relevance for specific use cases.
Does TopK support multi-modal data?
Yes, TopK enables multi-vector, multi-modal indexing with unlimited vector representations per document across text, images, video, and audio.
What integrations does TopK offer?
TopK provides SDKs for Python, JavaScript, and Rust, as well as connectors for Postgres, MongoDB, and Kafka, and a SQL compatibility layer for existing tools.
How does TopK ensure security and compliance?
TopK is built with enterprise security in mind, offering encryption at rest and in transit, role-based access control, audit logging, and options for private deployment in a VPC or on-premises.
TopK Website Engagement
Last Update: 9 days ago
Monthly Traffic
Traffic Sources
Traffic Share By Country
- United States69.9%
- India28.3%
- Germany1.8%