Retrieval-Augmented Generation - combining LLMs with external knowledge bases for more accurate responses.
RAG systems retrieve relevant information from databases or documents and feed it to LLMs as context, enabling them to provide accurate, up-to-date responses based on proprietary data.
Building a customer support bot that queries your NetSuite database before generating responses.
RAG enables businesses to leverage LLMs while maintaining accuracy with company-specific data and reducing hallucinations.
AI systems that can autonomously plan, execute, and iterate on multi-step tasks with minimal human i...
Numerical representations of text that capture semantic meaning for AI processing.
An LLM capability that allows the model to invoke predefined functions or APIs as part of its respon...
When AI models generate false or nonsensical information that appears plausible.
An AI model trained on vast amounts of text data capable of understanding and generating human-like ...
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