Galaksiya's Generative AI service, Chat-Enabled Super Intelligence, revolutionizes both enterprise interactions and customer interactions. We deliver an unforgettable experience by featuring Large Language Models, Small Language Models, Knowledge Graphs, and Multi-Agent Systems solutions! Our service leaves boring conversations behind, unlocking the doors to more human-like and enjoyable dialogues.
Of course, the goal is not just entertainment; carefully crafted generative AI applications can effectively adapt to your domain, understand all your needs, and resolve your issues at an unexpected pace. Your internal business processes and customer interactions are no longer ordinary, but so much more!
Applications
Deploy Galaksiya's Generative AI, featuring Small Models, Knowledge Graphs, Multi-Agent Systems, and Graph-supported RAG across various industries. From personalized customer support in e-commerce to information-rich interactions in educational platforms, our solutions adapt to diverse needs.
Benefits
Responsive Interactions
Small Models ensure agile and quick responses, enhancing the overall user experience.
In-Depth Conversations
Knowledge Graphs provide a contextual understanding, enabling more meaningful and informed interactions.
Dynamic Personalization
Multi-agent systems adapt conversations based on user input, offering a personalized and context-aware experience.
Fresh Data Processing
Graph-supported RAG optimizes resource allocation, enabling LLM to work effectively with fresh data.
Features
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Small Models
Efficiency meets agility with our Small Models. Experience quick and responsive conversational interfaces, ensuring a seamless user experience. These compact yet powerful models are optimized for efficient interactions.
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Knowledge Graph
Elevate conversational understanding with our Knowledge Graph. This feature provides a contextual understanding of user queries by connecting and integrating information from diverse sources, delivering rich and accurate responses.
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Multi-Agent Systems
Engage users in dynamic conversations with our Multi-Agent Systems. These intelligent systems adapt to user input, offering personalized and context-aware interactions. The seamless routing of conversations between agents ensures a continuous and tailored experience.
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Graph-supported RAG
Introducing a powerful addition to the popular Retrieval Augmented Generation architecture - Graph-supported RAG. This feature enhances the effectiveness of Large Language Models (LLM) by enabling them to work seamlessly with fresh data. The knowledge graph ensures that the LLM operates efficiently even as it processes new information.