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Description
Lightweight, fast, portable, and powered by Rust, our solution is designed to be compatible with OpenAI. We collaborate with cloud providers, particularly those specializing in edge cloud and CDN compute, to facilitate microservices tailored for web applications. Our solutions cater to a wide array of use cases, ranging from AI inference and database interactions to CRM systems, ecommerce, workflow management, and server-side rendering. Additionally, we integrate with streaming frameworks and databases to enable embedded serverless functions aimed at data filtering and analytics. These serverless functions can serve as database user-defined functions (UDFs) or be integrated into data ingestion processes and query result streams. With a focus on maximizing GPU utilization, our platform allows you to write once and deploy anywhere. In just five minutes, you can start utilizing the Llama 2 series of models directly on your device. One of the prominent methodologies for constructing AI agents with access to external knowledge bases is retrieval-augmented generation (RAG). Furthermore, you can easily create an HTTP microservice dedicated to image classification that operates YOLO and Mediapipe models at optimal GPU performance, showcasing our commitment to delivering efficient and powerful computing solutions. This capability opens the door for innovative applications in fields such as security, healthcare, and automatic content moderation.
Description
Vectorize is a specialized platform that converts unstructured data into efficiently optimized vector search indexes, enhancing retrieval-augmented generation workflows. Users can import documents or establish connections with external knowledge management systems, enabling the platform to extract natural language that is compatible with large language models. By evaluating various chunking and embedding strategies simultaneously, Vectorize provides tailored recommendations while also allowing users the flexibility to select their preferred methods. After a vector configuration is chosen, the platform implements it into a real-time pipeline that adapts to any changes in data, ensuring that search results remain precise and relevant. Vectorize features integrations with a wide range of knowledge repositories, collaboration tools, and customer relationship management systems, facilitating the smooth incorporation of data into generative AI frameworks. Moreover, it also aids in the creation and maintenance of vector indexes within chosen vector databases, further enhancing its utility for users. This comprehensive approach positions Vectorize as a valuable tool for organizations looking to leverage their data effectively for advanced AI applications.
API Access
Has API
API Access
Has API
Integrations
Discord
Amazon S3
Apache APISIX
Azure Blob Storage
ChatGPT
Confluence
Docker
Dropbox
Filecoin
GitLab
Integrations
Discord
Amazon S3
Apache APISIX
Azure Blob Storage
ChatGPT
Confluence
Docker
Dropbox
Filecoin
GitLab
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0.57 per hour
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Second State
Country
United States
Website
www.secondstate.io
Vendor Details
Company Name
Vectorize
Founded
2023
Country
United States
Website
vectorize.io
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)