Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

DataGemma signifies a groundbreaking initiative by Google aimed at improving the precision and dependability of large language models when handling statistical information. Released as a collection of open models, DataGemma utilizes Google's Data Commons, a comprehensive source of publicly available statistical information, to root its outputs in actual data. This project introduces two cutting-edge methods: Retrieval Interleaved Generation (RIG) and Retrieval Augmented Generation (RAG). The RIG approach incorporates real-time data verification during the content generation phase to maintain factual integrity, while RAG focuses on acquiring pertinent information ahead of producing responses, thereby minimizing the risk of inaccuracies often referred to as AI hallucinations. Through these strategies, DataGemma aspires to offer users more reliable and factually accurate answers, representing a notable advancement in the effort to combat misinformation in AI-driven content. Ultimately, this initiative not only underscores Google's commitment to responsible AI but also enhances the overall user experience by fostering trust in the information provided.

Description

GigaSpaces eRAG (Enterprise Retrieval Augmented Generation) serves as an AI-driven platform aimed at improving decision-making within enterprises by facilitating natural language interactions with structured data sources, including relational databases. In contrast to conventional generative AI models, which often produce unreliable or "hallucinated" outputs when processing structured information, eRAG utilizes deep semantic reasoning to effectively convert user inquiries into SQL queries, retrieve pertinent data, and generate accurate, contextually relevant responses. This innovative methodology guarantees that the answers provided are based on real-time, reliable data, thereby reducing the risks linked to unverified AI-generated information. Furthermore, eRAG integrates smoothly with a variety of data sources, empowering organizations to maximize the capabilities of their current data infrastructure. In addition to its data integration features, eRAG includes built-in governance measures that track user interactions to ensure adherence to regulatory standards, thereby promoting responsible AI usage. This holistic approach not only enhances decision-making processes but also reinforces data integrity and compliance across the organization.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon RDS No 
Gemini Yes 
Gemini 1.5 Flash Yes 
Gemini 1.5 Pro Yes 
Gemini 2.0 Yes 
Gemini 2.0 Flash Yes 
Gemini Enterprise Yes 
Gemini Nano Yes 
Gemini Pro Yes 
GigaSpaces No 
Google AI Plus Yes 
Google Cloud BigQuery No 
IBM Db2 No 
Oracle Database No 
PostgreSQL No 
SAP Cloud Platform No 
SQL No 
SQL Server No 

Integrations

Amazon RDS Yes 
Gemini No 
Gemini 1.5 Flash No 
Gemini 1.5 Pro No 
Gemini 2.0 No 
Gemini 2.0 Flash No 
Gemini Enterprise No 
Gemini Nano No 
Gemini Pro No 
GigaSpaces Yes 
Google AI Plus No 
Google Cloud BigQuery Yes 
IBM Db2 Yes 
Oracle Database Yes 
PostgreSQL Yes 
SAP Cloud Platform Yes 
SQL Yes 
SQL Server Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

Deployment

Web-Based Yes 
On-Premises Yes 
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) No 
Online Support Yes 

Customer Support

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

Types of Training

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

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Google

Founded

1994

Country

United States

Website

blog.google/technology/ai/google-datagemma-ai-llm/

Vendor Details

Company Name

GigaSpaces

Founded

2000

Country

Israel

Website

www.gigaspaces.com/products/erag

Product Features

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Alternatives

Gemma 3 Reviews

Gemma 3

Google
Gemma Reviews

Gemma

Google
CodeGemma Reviews

CodeGemma

Google
Gemma 4 Reviews

Gemma 4

Google