Vectorize
Vectorize is a cutting-edge AI data platform designed to streamline the way AI agents interact with data. It offers a unified solution for connecting AI agents to various data types, whether structured or unstructured. This tool is perfect for developers and companies looking to enhance their AI solutions with precise data retrieval, making tasks like document parsing and data extraction much smoother.
Make a decision about Vectorize
- Already use it? Add Vectorize to Stack Autopsy — check cost, overlap and safe cancellations.
- Thinking about buying it? Ask AI Advisor — compare fit, alternatives and trade-offs.
- Want to leave it? Find a replacement — see feature losses and migration risks.
Pricing
- Free: $0 per month. Includes 1 RAG pipeline, processing up to 1,500 pages per month, basic analytics, limited access to vision model processing for complex PDFs, and community support.
- Starter: $99 per month. Includes 2 RAG pipelines, processing up to 15,000 pages per month, unlimited source connectors per pipeline, pay-as-you-go for additional page processing, advanced analytics, full API support, and community support.
- Pro: $399 per month. Includes 3 RAG pipelines, processing up to 65,000 pages per month, unlimited source connectors per pipeline, pay-as-you-go for additional page processing, advanced analytics, RAG pipelines, performance monitoring, and 12×5 support with SLA.
- Enterprise: Custom pricing. Includes custom number of pipelines, page and data limits, custom connectors, up to 24×7 support with 30-minute SLA, custom performance monitoring, and custom reporting tools.
Features
- Agent-First Retrieval: Vectorize ensures that AI agents access only the relevant data, eliminating noise and guesswork.
- Multimodal Extraction: The tool extracts content from complex sources like PDFs and diagrams using the Vectorize Iris vision model.
- Custom Metadata Filters: Users can define and extract structured fields, allowing agents to filter and retrieve data relevant to their tasks.
- Configurable Pipelines: Offers production-ready pipelines with support for platforms like Google Drive and S3, requiring no custom code.
Use cases
- E-commerce Businesses: Utilizing the tool for enhancing customer support operations.
- Digital Marketing Agencies: Employing it for precise data-driven campaign strategies.
- AI Development Teams: Leveraging Vectorize to build intelligent AI agents and copilots.
- Legal Firms: Using it for efficient document processing and data extraction.
- Uncommon Use Cases: Adopted by educational institutions for AI research; Employed by oil and gas engineers for specialized data retrieval.