With the launch of the Contextual AI Platform, enterprises will be able to create specialized “RAG agents” that can automate knowledge work on behalf of users. The new platform is based on an ...

For developers, this means you can now build highly customized AI models without breaking the bank — whether through distillation, fine-tuning or simple RAG implementations. Distillation ...

RAG draws on additional, newer and domain-specific data sources. This lets an LLM parse more data than it was initially trained on and answer questions with greater accuracy and less bias — both of ...

The RAG AI Voice Assistant is a comprehensive system designed to interact with users through spoken commands and questions. It leverages various components to provide a seamless user experience: ...

This article introduces you to Eric, a conversational AI voice agent designed to do just that. Built using ElevenLabs for voice synthesis, a Retrieval-Augmented Generation (RAG) system for ...

Follow the steps below to set up the project locally: ...

While the allure of a proprietary AI system is understandable, this approach may be both unnecessarily complex and cost-prohibitive. Retrieval-Augmented Generation (RAG) systems offer a more ...