VecRank supports multiple programming languages, enabling seamless integration of AI-powered search into any project. Enhance your applications with VecRank, whether you use JavaScript, TypeScript, Python or cURL.
const vecRank = new VecRank({API_KEY: "YOUR_API_KEY"});
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const results = await vecRank.search({
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query: "YOUR QUERY HERE",
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rerank: true,
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filters: {
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maxPrice: 100,
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},
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orderBy: "price ASC",
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limit: 10,
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});
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console.log(results);
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curl -X POST "https://api.vecrank.com/v0/search" \
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-H "Content-Type: application/json" \
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-H "Authorization: Bearer YOUR_API_KEY" \
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-d '{
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"query": "YOUR QUERY HERE",
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"rerank": true,
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"filters": {
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"maxPrice": 100
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},
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"orderBy": "price ASC",
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"limit": 10
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}'
VecRank offers vector search and reranking as a service to enhance natural language understanding and contextual relevance. Leveraging cutting-edge GenAI technologies, it provides a scalable, AI-driven search solution for software developers and business owners.
“We spun up vector search with VecRank in a day. It let us experiment rapidly without the hassle of setting up infrastructure for embeddings and vector search databases, significantly reducing our time from idea to production. ”
Artem Panchoyan
CTO, Tendery.ai
Vector search in minutes
Enable vector search and reranking in a matter minutes with VecRank's seamless integration and powerful AI capabilities, allowing you to enhance your application's functionality at zero infrastructure cost.
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Step
01
cloud_upload
Bulk upload your data
Import your data in a matter of minutes
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Step
02
search
Enable AI search
Use the power of AI vector search and reranking in your application
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Step
03
autorenew
Incrementally update your data
Incrementally update your data to keep your search results up-to-date
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Step
04
show_chart
Grow your business
Spend no time on infrastructure management, enabling you to focus entirely on innovation and growing you business
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· Built for developers, scales with business
Built for developers, scales with your business
VecRank is built specifically for developers, offering seamless integration and powerful tools that scale with your business to enhance search capabilities with minimal effort. It uses pgvector under the hood and abstracts away GenAI embeddings.
