Question 1

What is Vectorize?

Accepted Answer

**Vectorize Agentic AI Data Platform** connects your AI agents directly to all the data they need—structured, unstructured, and everything in between. It’s a secure, easy-to-use platform that makes sure your AI gets the right info at the right time, without messy tools or complicated setups.

Question 2

What are the features of Vectorize?

Accepted Answer

* **Agent-First Retrieval:** Gives AI agents clean, structured access to exactly what they need—no noise, no guesswork.  
* **Multimodal Extraction:** Handles complex PDFs, diagrams, and transcriptions using the Vectorize Iris vision model.  
* **Custom Metadata Filters:** Lets you define fields to filter and retrieve only relevant data for each task.  
* **Configurable Pipelines:** Fast, ready-to-use pipelines that connect with Google Drive, S3, and more—no coding needed.  
* **Advanced Search API:** Includes re-ranking, query rewriting, and metadata-aware search for precise results.  
* **Built-in Evaluation Tools:** Test different embedding models and chunking strategies on your own data before going live.  
* **Document Parsing:** Understands complex layouts like multi-column reports and nested tables.  
* **Smart Extraction:** Automatically pulls structured data from tables, charts, and graphs.  
* **Multimodal Images and Graphics:** Processes diagrams, flowcharts, screenshots, and embedded images.  
* **Legal Docs, Scans, and Faxes:** Turns low-quality scans and handwritten notes into searchable data with OCR optimized for real-world docs.  
* **Global Multilingual Support:** Works with 50+ languages, detecting them automatically and maintaining accuracy.  
* **Connects to All Data Sources:** From knowledge bases to cloud storage and communication platforms, giving instant access to your unstructured data.

Question 3

What are the use cases of Vectorize?

Accepted Answer

* Build AI agents and copilots that need fast, accurate data retrieval.  
* Automate support operations with real-time data updates.  
* Create Retrieval-Augmented Generation (RAG) pipelines easily.  
* Extract and structure data from complex documents and images.  
* Support multilingual document processing for global teams.  
* Connect private data securely to AI agents without custom coding.

Question 4

How to use Vectorize?

Accepted Answer

* Use the REST Search API or SDKs to integrate Vectorize with your AI agents.  
* Set up pipelines quickly with built-in connectors for popular data sources.  
* Define custom metadata filters to tailor data retrieval for your needs.  
* Benchmark embedding models and chunking strategies using built-in tools.  
* Monitor relevancy and performance to keep your data retrieval sharp.

Question 5

How does Vectorize handle complex documents?

Accepted Answer

Vectorize uses advanced vision models to understand layouts like multi-column reports, nested tables, and mixed formats, keeping context intact.

Question 6

Can Vectorize process images and diagrams?

Accepted Answer

Yes, it extracts text, identifies objects, and understands visual relationships in diagrams, flowcharts, and embedded images.

Question 7

Is coding required to set up pipelines?

Accepted Answer

No, Vectorize offers configurable, production-ready pipelines with no custom code needed.

Question 8

Does Vectorize support multiple languages?

Accepted Answer

Absolutely. It supports over 50 languages with automatic detection and maintains accuracy across different scripts.

Question 9

Can I test different embedding models before deployment?

Accepted Answer

Yes, Vectorize includes built-in evaluation tools to benchmark models and chunking strategies on your actual data.

Question 10

What kind of data sources can I connect?

Accepted Answer

You can connect knowledge bases, cloud storage like Google Drive and S3, documents, and communication platforms.