DataGemma

DataGemma

Google
eRAG

eRAG

GigaSpaces
+
+

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About

DataGemma represents a pioneering effort by Google to enhance the accuracy and reliability of large language models (LLMs) when dealing with statistical and numerical data. Launched as a set of open models, DataGemma leverages Google's Data Commons, a vast repository of public statistical data—to ground its responses in real-world facts. This initiative employs two innovative approaches: Retrieval Interleaved Generation (RIG) and Retrieval Augmented Generation (RAG). The RIG method integrates real-time data checks during the generation process to ensure factual accuracy, while RAG retrieves relevant information before generating responses, thereby reducing the likelihood of AI hallucinations. By doing so, DataGemma aims to provide users with more trustworthy and factually grounded answers, marking a significant step towards mitigating the issue of misinformation in AI-generated content.

About

GigaSpaces eRAG (Enterprise Retrieval Augmented Generation) is an AI-powered platform designed to enhance enterprise decision-making by enabling natural language interactions with structured data sources such as relational databases. Unlike traditional generative AI models that may produce inaccurate or "hallucinated" responses when dealing with structured data, eRAG employs deep semantic reasoning to accurately translate user queries into SQL, retrieve relevant data, and generate precise, context-aware answers. This approach ensures that responses are grounded in real-time, authoritative data, mitigating the risks associated with unverified AI outputs.​ eRAG seamlessly integrates with various data sources, allowing organizations to unlock the full potential of their existing data infrastructure. eRAG offers built-in governance features that monitor interactions to ensure compliance with regulations.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI developers in need of a tool to reduce AI hallucination by anchoring LLMs in real-world statistical information

Audience

Enterprises seeking a solution to empower their teams with accurate, real-time insights from structured data through natural language queries

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google
Founded: 1994
United States
blog.google/technology/ai/google-datagemma-ai-llm/

Company Information

GigaSpaces
Founded: 2000
Israel
www.gigaspaces.com/products/erag

Alternatives

Gemma

Gemma

Google

Alternatives

Gemma 3

Gemma 3

Google
Gemma 4

Gemma 4

Google
CodeGemma

CodeGemma

Google
Gemma 2

Gemma 2

Google
Azure AI Search

Azure AI Search

Microsoft

Categories

Categories

Integrations

Amazon RDS
Gemini
Gemini 1.5 Flash
Gemini 1.5 Pro
Gemini 2.0
Gemini 2.0 Flash
Gemini Advanced
Gemini Enterprise
Gemini Nano
Gemini Pro
GigaSpaces
Google Cloud BigQuery
IBM Db2
Oracle Database
PostgreSQL
SAP Cloud Platform
SQL
SQL Server

Integrations

Amazon RDS
Gemini
Gemini 1.5 Flash
Gemini 1.5 Pro
Gemini 2.0
Gemini 2.0 Flash
Gemini Advanced
Gemini Enterprise
Gemini Nano
Gemini Pro
GigaSpaces
Google Cloud BigQuery
IBM Db2
Oracle Database
PostgreSQL
SAP Cloud Platform
SQL
SQL Server
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