Grounded Language Model (GLM)Contextual AI
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eRAGGigaSpaces
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About
Contextual AI introduces its Grounded Language Model (GLM), engineered specifically to minimize hallucinations and deliver highly accurate, source-based responses for retrieval-augmented generation (RAG) and agentic applications. The GLM prioritizes faithfulness to the provided data, ensuring responses are grounded in specific knowledge sources and backed by inline citations. With state-of-the-art performance on the FACTS groundedness benchmark, the GLM outperforms other foundation models in scenarios requiring high accuracy and reliability. The model is designed for enterprise use cases like customer service, finance, and engineering, where trustworthy and precise responses are critical to minimizing risks and improving decision-making.
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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.
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Platforms Supported
Windows
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Mac
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Linux
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Cloud
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On-Premises
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iPhone
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iPad
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Android
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Chromebook
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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
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Audience
Enterprises, developers, and data scientists looking for an AI model that delivers accurate, grounded responses with minimal risk of hallucinations, ideal for enhancing enterprise applications like customer support, financial analysis, and engineering decision-making
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Audience
Enterprises seeking a solution to empower their teams with accurate, real-time insights from structured data through natural language queries
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Support
Phone Support
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24/7 Live Support
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Online
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Support
Phone Support
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24/7 Live Support
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Online
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API
Offers API
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API
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Pricing
No information available.
Free Version
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Free Trial
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Pricing
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Free Version
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Reviews/
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Training
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Training
Documentation
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In Person
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Company InformationContextual AI
Founded: 2023
United States
contextual.ai/blog/introducing-grounded-language-model/
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Company InformationGigaSpaces
Founded: 2000
Israel
www.gigaspaces.com/products/erag
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Integrations
Amazon RDS
Not Supported
Contextual AI
Supported
GigaSpaces
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Google Cloud BigQuery
Not Supported
IBM Db2
Not Supported
Oracle Database
Not Supported
PostgreSQL
Not Supported
SAP Cloud Platform
Not Supported
SQL
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SQL Server
Not Supported
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Integrations
Amazon RDS
Supported
Contextual AI
Not Supported
GigaSpaces
Supported
Google Cloud BigQuery
Supported
IBM Db2
Supported
Oracle Database
Supported
PostgreSQL
Supported
SAP Cloud Platform
Supported
SQL
Supported
SQL Server
Supported
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