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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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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
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
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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Categories |
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Integrations
Amazon RDS
Contextual AI
GigaSpaces
Google Cloud BigQuery
IBM Db2
Oracle Database
PostgreSQL
SAP Cloud Platform
SQL
SQL Server
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Integrations
Amazon RDS
Contextual AI
GigaSpaces
Google Cloud BigQuery
IBM Db2
Oracle Database
PostgreSQL
SAP Cloud Platform
SQL
SQL Server
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