DataGemmaGoogle
|
eRAGGigaSpaces
|
|||||
Related Products
|
||||||
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
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
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
Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
|
|||||
API
Offers API
Not Supported
|
API
Offers API
Not Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Supported
|
Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
|
|||||
Company InformationGoogle
Founded: 1994
United States
blog.google/technology/ai/google-datagemma-ai-llm/
|
Company InformationGigaSpaces
Founded: 2000
Israel
www.gigaspaces.com/products/erag
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
|
|||||
Categories |
Categories |
|||||
Integrations
Amazon RDS
Not Supported
Gemini
Supported
Gemini 1.5 Flash
Supported
Gemini 1.5 Pro
Supported
Gemini 2.0
Supported
Gemini 2.0 Flash
Supported
Gemini Enterprise
Supported
Gemini Nano
Supported
Gemini Pro
Supported
GigaSpaces
Not Supported
|
Integrations
Amazon RDS
Supported
Gemini
Not Supported
Gemini 1.5 Flash
Not Supported
Gemini 1.5 Pro
Not Supported
Gemini 2.0
Not Supported
Gemini 2.0 Flash
Not Supported
Gemini Enterprise
Not Supported
Gemini Nano
Not Supported
Gemini Pro
Not Supported
GigaSpaces
Supported
|
|||||
|
|
|