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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Achieve exceptional response quality through a vector database specifically designed for advanced retrieval augmented generation (RAG) and contemporary search functionalities. Emphasize substantial growth with a robust, enterprise-ready vector database that inherently includes security, compliance, and ethical AI methodologies. Create superior applications utilizing advanced retrieval techniques that are underpinned by years of research and proven customer success. Effortlessly launch your generative AI application with integrated platforms and data sources, including seamless connections to AI models and frameworks. Facilitate the automatic data upload from an extensive array of compatible Azure and third-party sources. Enhance vector data processing with comprehensive features for extraction, chunking, enrichment, and vectorization, all streamlined in a single workflow. Offer support for diverse vector types, hybrid models, multilingual capabilities, and metadata filtering. Go beyond simple vector searches by incorporating keyword match scoring, reranking, geospatial search capabilities, and autocomplete features. This holistic approach ensures that your applications can meet a wide range of user needs and adapt to evolving demands.

Description

Ragie simplifies the processes of data ingestion, chunking, and multimodal indexing for both structured and unstructured data. By establishing direct connections to your data sources, you can maintain a consistently updated data pipeline. Its advanced built-in features, such as LLM re-ranking, summary indexing, entity extraction, and flexible filtering, facilitate the implementation of cutting-edge generative AI solutions. You can seamlessly integrate with widely used data sources, including Google Drive, Notion, and Confluence, among others. The automatic synchronization feature ensures your data remains current, providing your application with precise and trustworthy information. Ragie’s connectors make integrating your data into your AI application exceedingly straightforward, allowing you to access it from its original location with just a few clicks. The initial phase in a Retrieval-Augmented Generation (RAG) pipeline involves ingesting the pertinent data. You can effortlessly upload files directly using Ragie’s user-friendly APIs, paving the way for streamlined data management and analysis. This approach not only enhances efficiency but also empowers users to leverage their data more effectively.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Azure AI Services Yes 
Azure Machine Learning Yes 
Azure Marketplace Yes 
Azure OpenAI Service Yes 
Cognee Yes 
Confluence No 
Google Drive No 
Microsoft Azure Yes 
Microsoft Copilot Studio Yes 
Microsoft Foundry Agent Service Yes 
Microsoft Intelligent Data Platform Yes 
Microsoft OneDrive No 
Microsoft PowerPoint No 
Nango No 
Notion No 
Salesforce No 
Titan CMS Yes 
Workers by Delos No 

Integrations

Azure AI Services No 
Azure Machine Learning No 
Azure Marketplace No 
Azure OpenAI Service No 
Cognee No 
Confluence Yes 
Google Drive Yes 
Microsoft Azure No 
Microsoft Copilot Studio No 
Microsoft Foundry Agent Service No 
Microsoft Intelligent Data Platform No 
Microsoft OneDrive Yes 
Microsoft PowerPoint Yes 
Nango Yes 
Notion Yes 
Salesforce Yes 
Titan CMS No 
Workers by Delos Yes 

Pricing Details

$0.11 per hour
Free Trial Yes 
Free Version Yes 

Pricing Details

$500 per month
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/products/ai-services/ai-search/

Vendor Details

Company Name

Ragie

Founded

2024

Website

www.ragie.ai/

Product Features

Enterprise Search

AI / Machine Learning No 
Faceted Search / Filtering No 
Full Text Search No 
Fuzzy Search No 
Indexing No 
Text Analytics No 
eDiscovery No 

Alternatives

Alternatives

Azure AI Search Reviews

Azure AI Search

Microsoft