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What is Shaped?

Discover the fastest pathway to personalized suggestions and search capabilities that enhance user engagement, boost conversion rates, and increase overall revenue through a dynamic system that adapts instantly to your requirements. Our platform is designed to guide users in finding precisely what they seek by showcasing products or content that closely match their preferences. In addition, we focus on your business objectives, making sure that every element of your platform or marketplace is optimally aligned. At its foundation, Shaped includes a sophisticated four-stage recommendation engine that utilizes advanced data and machine-learning technology to analyze your information and effectively meet your discovery needs at scale. The integration process with your existing data sources is both efficient and rapid, facilitating the real-time ingestion and re-ranking of information based on user interactions. You also have the opportunity to refine large language models and neural ranking systems to attain top-tier performance. Moreover, our platform allows you to design and test various ranking and retrieval mechanisms tailored to specific applications, ensuring users receive the most pertinent results for their queries. This adaptability guarantees a user experience that is not only relevant but also consistently engaging.

What is Ragie?

Ragie streamlines the tasks of data ingestion, chunking, and multimodal indexing for both structured and unstructured datasets. By creating direct links to your data sources, it ensures a continually refreshed data pipeline. Its sophisticated features, which include LLM re-ranking, summary indexing, entity extraction, and dynamic filtering, support the deployment of innovative generative AI solutions. Furthermore, it enables smooth integration with popular data sources like Google Drive, Notion, and Confluence, among others. The automatic synchronization capability guarantees that your data is always up to date, providing your application with reliable and accurate information. With Ragie’s connectors, incorporating your data into your AI application is remarkably simple, allowing for easy access from its original source with just a few clicks. The first step in a Retrieval-Augmented Generation (RAG) pipeline is to ingest the relevant data, which you can easily accomplish by uploading files directly through Ragie’s intuitive APIs. This method not only boosts efficiency but also empowers users to utilize their data more effectively, ultimately leading to better decision-making and insights. Moreover, the user-friendly interface ensures that even those with minimal technical expertise can navigate the system with ease.

Media

Media

Integrations Supported

AccessOwl
Amazon Kinesis
Amazon Redshift
Amazon S3
Amplitude
Confluence
Google Analytics
Google Cloud BigQuery
Google Cloud Firestore
Google Drive
Microsoft OneDrive
Microsoft PowerPoint
Mixpanel
MySQL
Nango
Notion
PostgreSQL
Salesforce
Segment
Snowflake

Integrations Supported

AccessOwl
Amazon Kinesis
Amazon Redshift
Amazon S3
Amplitude
Confluence
Google Analytics
Google Cloud BigQuery
Google Cloud Firestore
Google Drive
Microsoft OneDrive
Microsoft PowerPoint
Mixpanel
MySQL
Nango
Notion
PostgreSQL
Salesforce
Segment
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$500 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

Shaped

Company Location

United States

Company Website

www.shaped.ai/

Company Facts

Organization Name

Ragie

Date Founded

2024

Company Website

www.ragie.ai/

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