
Vectorize helps developers build AI applications by automating data extraction and selecting optimal vectorization strategies. It evaluates retrieval-augmented generation (RAG) approaches and lets teams deploy real-time RAG pipelines and keep vector search indexes up to date. The platform integrates with existing vector databases and developer workflows, positioning it as a B2B SaaS developer tool. Core technologies include vector search, vector databases, RAG evaluation, and real-time pipeline orchestration. Vectorize targets engineering teams and companies building production AI apps that need scalable unstructured-data retrieval and indexing.

Vectorize helps developers build AI applications by automating data extraction and selecting optimal vectorization strategies. It evaluates retrieval-augmented generation (RAG) approaches and lets teams deploy real-time RAG pipelines and keep vector search indexes up to date. The platform integrates with existing vector databases and developer workflows, positioning it as a B2B SaaS developer tool. Core technologies include vector search, vector databases, RAG evaluation, and real-time pipeline orchestration. Vectorize targets engineering teams and companies building production AI apps that need scalable unstructured-data retrieval and indexing.
Product: Platform that automates data extraction, selects vectorization strategies, and deploys real-time RAG pipelines for production AI apps
Customers / Users: Engineering teams and companies building production AI applications that need scalable unstructured-data retrieval and indexing
Stage: Seed
Funding: Seed round closed Oct 8, 2024; investors include DIG Ventures and True Ventures
Unstructured-data retrieval, vector search indexing, and operationalizing RAG pipelines for production AI applications.
2022
Data and Analytics
3600000
Investors listed include DIG Ventures and True Ventures
“DIG Ventures, True Ventures”