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What is Superlinked?
Incorporate semantic relevance with user feedback to efficiently pinpoint the most valuable document segments within your retrieval-augmented generation framework. Furthermore, combine semantic relevance with the recency of documents in your search engine, recognizing that newer information can often be more accurate. Develop a dynamic, customized e-commerce product feed that leverages user vectors derived from interactions with SKU embeddings. Investigate and categorize behavioral clusters of your customers using a vector index stored in your data warehouse. Carefully structure and import your data, utilize spaces for building your indices, and perform queries—all executed within a Python notebook to keep the entire process in-memory, ensuring both efficiency and speed. This methodology not only streamlines data retrieval but also significantly enhances user experience through personalized recommendations, ultimately leading to improved customer satisfaction. By continuously refining these processes, you can maintain a competitive edge in the evolving digital landscape.
What is Metal?
Metal acts as a sophisticated, fully-managed platform for machine learning retrieval that is primed for production use. By utilizing Metal, you can extract valuable insights from your unstructured data through the effective use of embeddings. This platform functions as a managed service, allowing the creation of AI products without the hassles tied to infrastructure oversight. It accommodates multiple integrations, including those with OpenAI and CLIP, among others. Users can efficiently process and categorize their documents, optimizing the advantages of our system in active settings. The MetalRetriever integrates seamlessly, and a user-friendly /search endpoint makes it easy to perform approximate nearest neighbor (ANN) queries. You can start your experience with a complimentary account, and Metal supplies API keys for straightforward access to our API and SDKs. By utilizing your API Key, authentication is smooth by simply modifying the headers. Our Typescript SDK is designed to assist you in embedding Metal within your application, and it also works well with JavaScript. There is functionality available to fine-tune your specific machine learning model programmatically, along with access to an indexed vector database that contains your embeddings. Additionally, Metal provides resources designed specifically to reflect your unique machine learning use case, ensuring that you have all the tools necessary for your particular needs. This adaptability also empowers developers to modify the service to suit a variety of applications across different sectors, enhancing its versatility and utility. Overall, Metal stands out as an invaluable resource for those looking to leverage machine learning in diverse environments.
Integrations Supported
Cocos Creator
GameplayKit
JavaScript
LangChain
OpenAI
Python
SceneKit
TypeScript
Integrations Supported
Cocos Creator
GameplayKit
JavaScript
LangChain
OpenAI
Python
SceneKit
TypeScript
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$25 per month
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Superlinked
Date Founded
2021
Company Location
United States
Company Website
superlinked.com
Company Facts
Organization Name
Metal
Company Website
getmetal.io
Categories and Features
Categories and Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization