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Description
Tailor contextual language models specifically for your business requirements. Elevate your team's capabilities using RAG 2.0, which offers the highest levels of accuracy, dependability, and traceability for constructing production-ready AI solutions. We ensure that every element is pre-trained, fine-tuned, and aligned into a cohesive system to deliver optimal performance, enabling you to create and adjust specialized AI applications suited to your unique needs. The contextual language model framework is fully optimized from start to finish. Our models are refined for both data retrieval and text generation, ensuring that users receive precise responses to their queries. Utilizing advanced fine-tuning methods, we adapt our models to align with your specific data and standards, thereby enhancing your business's overall effectiveness. Our platform also features streamlined mechanisms for swiftly integrating user feedback. Our research is dedicated to producing exceptionally accurate models that thoroughly comprehend context, paving the way for innovative solutions in the industry. This commitment to contextual understanding fosters an environment where businesses can thrive in their AI endeavors.
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
API Access
Has API
Integrations
Amazon RDS
GigaSpaces
Google Cloud BigQuery
Grounded Language Model (GLM)
IBM Db2
Oracle Database
PostgreSQL
SAP Cloud Platform
SQL
SQL Server
Integrations
Amazon RDS
GigaSpaces
Google Cloud BigQuery
Grounded Language Model (GLM)
IBM Db2
Oracle Database
PostgreSQL
SAP Cloud Platform
SQL
SQL Server
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Contextual AI
Founded
2023
Country
United States
Website
contextual.ai/
Vendor Details
Company Name
GigaSpaces
Founded
2000
Country
Israel
Website
www.gigaspaces.com/products/erag
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)