TopK

What is TopK?

TopK is a next-generation document database designed for AI-era search, combining vector, keyword, and faceted search capabilities in single, composable queries. It eliminates the complexity of traditional vector databases while delivering superior performance and relevance.

Top Features:

• True Hybrid Retrieval: combines dense and sparse retrieval methods to deliver more accurate search results.
• High-Recall Filtering: outperforms traditional vector databases in both query speed and result completeness.
• Multi-Modal Support: handles unlimited vector representations per document for text, images, video, and audio.
• Flexible Scoring: uses a powerful expression language to score documents based on custom business logic.

Use Cases:

• AI-Powered Search Applications: build sophisticated search engines that understand context and meaning.
• Multi-Modal Content Analysis: search across text, images, and other media types simultaneously.
• Large-Scale Enterprise Systems: handle millions of documents with consistent sub-10ms performance.
• Multi-Tenant Platforms: scale efficiently across multiple customers with simple filter expressions.

Who Can Use TopK?

• AI Application Developers: developers building next-generation search and retrieval systems.
• Enterprise IT Teams: professionals needing secure, scalable search infrastructure with compliance features.
• Data Scientists: specialists working with multi-modal data requiring semantic understanding.
• SaaS Platform Builders: teams developing multi-tenant applications with advanced search needs.

Pricing

TopK is completely free to use. There are no paid plans or subscriptions required to access its core features.

Pros and Cons

Pros:

• Superior Performance: delivers sub-10ms latency even with collections of millions of documents.
• Simplified Architecture: eliminates need for separate vector and keyword search systems.
• Enterprise-Ready: includes SOC 2 compliance and 99.9% SLA for production deployments.
• Flexible Deployment: available in public cloud or deployable in your preferred cloud provider.

Cons:

• Access Limitations: currently available by application only, not open for immediate signup.
• Learning Curve: new query language may require time to master for optimal results.
• Integration Work: might need effort to connect with existing systems despite available connectors.
• Pricing Structure: provisioned capacity model may not suit all business needs.

FAQs:

1) How does TopK differ from traditional vector databases?

TopK combines vector, keyword, and metadata filtering in a single query, avoiding the complexity of separate systems while improving relevance.

2) What programming languages does TopK support?

TopK provides SDKs for Python, JavaScript, and Rust, plus connectors for Postgres, MongoDB, and Kafka.

3) How does TopK handle large datasets?

It scales to billions of documents with consistent performance, maintaining sub-10ms latency even at high query volumes.

4) Can TopK be deployed in my own infrastructure?

Yes, TopK can be deployed in your VPC on AWS, GCP, or Azure, or used through their public cloud offering.

5) What kind of support does TopK provide?

TopK offers comprehensive documentation, 24/7 on-call support, and a private Slack channel for enterprise customers.