Vectorize

Overview
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Generative AI Infrastructure?
Product stageSegments
Minimum Viable Product
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Data storage and retrieval
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Vectorize is a platform that enables the development of AI applications by automating data extraction and managing retrieval-augmented generation (RAG) pipelines. It transforms unstructured data from various sources, including content management systems, file systems, CRMs, and collaboration tools, into AI-ready vectors suitable for vector search indexes. The platform's core features include RAG evaluation tools that assess different embedding strategies and models, typically completing evaluations in under one minute. Its RAG pipeline builder manages unstructured data from multiple sources and maintains synchronized vector databases to prevent stale data.

Vectorize integrates with vector databases like Pinecone, Couchbase, and DataStax, and supports embedding models from providers such as OpenAI and Voyage AI. It also offers a built-in retrieval endpoint that handles query vectorization, k-ANN search, result re-ranking, and context enrichment with relevancy scores and cosine similarity.

The company offers freemium subscriptions, with paid plans ranging from USD 0.57 to USD 1.35 per pipeline hour.

HQ location:
Dover DE USA
Founded year:
2022
Employees:
1-10
IPO status:
Private
Total funding:
USD 3.6 mn
Last Funding:
USD 3.6 mn (Seed; Oct 2024)
Last valuation:
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Company profile
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