Vectorize

Vectorize: The Agentic AI Data Platform

What is Vectorize?

Vectorize is an agentic AI data platform that enables AI agents to access structured and unstructured data, providing accurate retrieval and powering intelligent applications. It allows users to connect AI agents to the necessary data, regardless of its format, ensuring they have the right information at the right time.

How does Vectorize work?

Vectorize gives agents structured access to precisely the information they need, minimizing noise and guesswork. Its key features include:

• Agent-first retrieval: Structured access to information minimizes noise and guesswork.
• Multimodal extraction: Extracts content from PDFs, diagrams, and transcriptions using the Iris vision model.
• Custom metadata filters: Define and extract structured fields for precise filtering.
• Configurable pipelines: Production-ready pipelines for Google Drive, S3, and more, without custom code.
• Advanced Search API: Built-in re-ranking, query rewriting, and metadata-aware search.
• Built-in evaluation tools: Benchmark embedding models and chunking strategies.

Why is Vectorize important?

Vectorize is essential for building intelligent applications that require accurate and reliable data access. It addresses the challenges of working with unstructured data, providing a structured layer that enables AI agents to reason clearly and act confidently.

Where can I use Vectorize?

Vectorize can be used in various applications, including:

• Conversational AI: Improve the accuracy and relevance of chatbot responses.
• Agentic RAG: Enhance retrieval-augmented generation for better context and results.
• Complex Document Processing: Extract data from multi-column reports and mixed-format documents.
• Data Extraction: Automate the extraction of structured data from tables, charts, and graphs.
• BI for Unstructured Data: Gain insights from unstructured data sources.
• SaaS AI Integration: Integrate AI into SaaS applications.

Best way to implement Vectorize?

Vectorize offers a flexible approach to implementation. You can use their APIs and SDKs, or use their no-code system. Start by connecting your data sources and defining pipelines. Utilize metadata filters and the advanced search API to fine-tune data retrieval for your AI agents.

Customer Testimonials

• Eric McAllister: Vectorize has been instrumental in scaling support operations.
• Alexander H: Makes RAG effortless to set up and maintain, with impressive results.
• Bradley W.: A core part of our service is RAG, and Vectorize provides programmatic and self-improving benchmarks.
• Tommy Xaypanya: Vectorize allows startups to focus on product development instead of reinventing vectorized data retrieval.
• John C: Building RAG pipelines has become smooth.
• Thomas Havmand: Recommends Vectorize for a simple, no-hassle RAG solution.
• Jeffrey V: Praises the intuitive no-code system and helpful team.
• Jeremy D: Highlights the great team of developers and product expediting time to production.
• Michael Shapiro: Highly recommends the product for a custom RAG solution.
• Silas R: Notes the ease of connecting RAG sources and responsive customer support.