---
source_url: "https://www.topk.io/?utm_source=openai"
title: TopK - Search engine for accuracy-critical AI applications
mirrored_at: 2026-09-02T01:00:59.531Z
host: www.topk.io
cited_in_42a: true
mirror_canonical: "https://index.42a.ai/www.topk.io/index__q__utm_source_openai"
---

> **Original source:** https://www.topk.io/?utm_source=openai

## Store anything.  
Find everything.

Flexible foundation for search over any data. Built on object storage for 10x lower cost and unlimited scale.

## Search Platform. In one API.

TopK vertically integrates retrieval, embeddings, and storage to support search over structured and unstructured data in one platform.

Data Sources

Postgres & MySQL

Mongo & Elastic

Parquet, Arrow, JSON

S3, GCS, Azure

Hugging Face

Ingest

TopK Platform

Unified Retrieval Engine

Vectors

Keywords

Metadata

Embeddings

Object Storage

Compute (VMs)

GPUs

AWS

/

GCP

/

Azure

/

BYOC

Query

Agents & SDKs

### High-Quality

Hybrid search, multi-vector retrieval, and custom scoring in one query. All the tools you need to ship state-of-the art search.

### Fast

Sub-100ms latency at billion scale enabled by our storage format and query engine optimized for search.

### 10x cheaper

All data is stored on object storage with scalable compute layer serving your requests. Use only what you need.  
Pay only what you use.

## Unified Retrieval Engine

Built from the ground up with tools to deliver high-quality results in any domain.

Up to80%

higher recall

1B+ docs

per partition

17ms p99

query latency on 10M

70 MB/s

writes per partition

## Hybrid search, in a single query.

Combine dense & sparse vectors, late interaction, keywords, filters, and custom scoring in a single query to optimize relevance for your use case.

[Learn about architecture](https://docs.topk.io/architecture)

### Vector search

High-recall vector search across dense and sparse vector representations.

### Keyword search

Keyword-based filtering with BM25 scoring.

### Multi-vector search

Native late interaction retrieval over multi-vector embeddings.

### Custom scoring

Combine multiple ranking signals in a single query to optimize relevance.

## Drop it into your stack

Native SDKs for Python, JavaScript, Rust, and a SQL compatibility layer for the tools you already use.

Get started with:

[Python SDK](https://docs.topk.io/sdk/topk-py/overview)[Javascript SDK](https://docs.topk.io/sdk/topk-js/overview)[Rust SDK](https://docs.topk.io/sdk/topk-rs/overview)[SQL](https://docs.topk.io/sdk/topk-sql/overview)

## Unlimited scale with predictable latency

Scale to billions of documents per partition with predictable latency and cost.

TopK

Provider A

Provider B

Provider C

28 ms

71 ms

114 ms

407 ms

p99 hot query latency, 1M documents, 8 concurrent clients.

[See pricing](https://www.topk.io/pricing)

[See full benchmarks](https://www.topk.io/benchmarks)

## Use cases

## Security & Data protection

TopK is built from the ground up with enterprise security in mind. Data is encrypted in transit and at rest, access is scoped by role, and our infrastructure is audited continuously. When you need full control, we can deploy to your VPC or on-prem.

## Ship better search today.

Start building for free. Move to production with usage-based pricing or private deployment in your VPC.