From simple and direct queries on organizational data.
Retrieve critical information from your files, databases, and systems, streamlining daily operations with real-time responses through our data visualization tool powered by generative AI.
From simple and direct queries on organizational data.
Retrieve critical information from your files, databases, and systems, streamlining daily operations with real-time responses through our data visualization tool powered by generative AI.
A secure chat-based platform allows employees to perform tasks, search for data, run queries, get alerts, and generate content across numerous enterprise applications. It integrates data visualization tools using generative AI, enabling users to gain deeper insights and leverage AI-driven analytics for performance evaluation.
Customized LLMs
Implement customized LLMs and select models for an efficient, cost-effective system.
Augmented Analytics
Efficiently analyze vast data sets to uncover hidden insights for smarter decision-making.
Data Security
Implement data security to safeguard sensitive information and prevent breaches.
Link All Data Sources
Transform isolated data into semantic knowledge graphs and vector databases.
Enterprise Search
Improve organization-wide search functionality to access relevant information.
Tailored UX/UI
Enhance employee experience with a UX for follow-ups, summaries, and data.
Vector databases allow for high-speed similarity searches across large datasets. They are particularly useful for tasks like semantic search, recommendation systems, and anomaly detection, enhancing business intelligence and reporting through data visualization using generative AI.
Knowledge graphs excel at revealing relationships and dependencies, which can be crucial for understanding context or the relational dynamics in data, such as hierarchical structures or associative properties.
Enrich LLMs Understanding with Semantics
RAGs enhance the understanding of LLMs by imbuing them with semantic depth. As LLMs engage with the semantic layer facilitated by RAGs, the querying process becomes more streamlined, ensuring that context and queries are aligned for accuracy.
This approach helps LLMs to access information from databases seamlessly, enhancing their ability to comprehend the intricacies of language. By integrating semantics, RAGs ensure that queries and context are perfectly aligned, improving the accuracy of LLM-generated responses. Our data visualization tool using Gen AI ensures that your enterprise data becomes actionable and insightful.
Train LLM with Enterprise Data
RAG complements the training of LLMs with enterprise data by providing structured frameworks, leveraging data visualization tools using generative AI to enable smarter decisions. RAG uses knowledge graphs and semantic retrieval to improve LLMs' understanding of enterprise-specific context, enabling them to generate more accurate and relevant responses based on the specific nuances of the enterprise domain.
This integration between RAG and enterprise data training ensures that LLMs know what's important to the organization and can provide helpful insights accordingly.
From Idea To Production in just a few weeks
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4-6 Weeks
Custom LLMs and Natural Language Queries
Enhance data accessibility with custom LLMs and knowledge graphs
Empower decision-making and innovation
Custom LLMs and Natural Language Queries
Enhance data accessibility with custom LLMs and knowledge graphs