Vector search and reranking SaaS API
Hi, https://vecrank.com is an API for indexing data in a vector database and performing vector search with reranking at zero infrastructure cost. We spent a lot of time building a proper semantic search first for another startup. Now we are testing whether it can save time for the developers new to vector search and validating their startup ideas. As a software engineer you can save weeks of building a custom vector search solution with VecRank. It uses Postgres with pgvector, Gemini embeddings and 1.5 Flash for reranking under the hood. Also, it can be integrated in no-code…
What it does
In the maker’s words, at launch
Hi, https://vecrank.com is an API for indexing data in a vector database and performing vector search with reranking at zero infrastructure cost. We spent a lot of time building a proper semantic search first for another startup. Now we are testing whether it can save time for the developers new to vector search and validating their startup ideas. As a software engineer you can save weeks of building a custom vector search solution with VecRank. It uses Postgres with pgvector, Gemini embeddings and 1.5 Flash for reranking under the hood. Also, it can be integrated in no-code websites (e.g. Shopify), automatically import the products and provide search analytics and metrics. Key Features: - AI-powered Search and Reranking: Enhance your application's search accuracy and contextual relevance. - Cross-language API Support: Integrate with ease using SDKs in JavaScript, TypeScript, Python, or cURL. - Zero Infrastructure: Focus on innovation while VecRank handles the heavy lifting. - Scalability: Designed to grow with your business, ensuring robust performance at all stages.
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