Generative AI (GenAI) is a type of artificial intelligence technology that can produce various types of content, including text, imagery, audio andsynthetic data. The recent buzz around generative AI has been driven by the simplicity of new user interfaces for creating high-quality text, graphics ...
Explore the most important AI trends to watch in 2025 and beyond: GenAI, AI agents, and more. Learn moreabout Top AI Trends Defining 2025 Benefits of Retrieval-Augmented Generation RAG techniques can be used to improve the quality of a generative AI system’s responses to prompts, beyond wha...
Retrieval-augmented generation (RAG) is an AI framework that retrieves data from external sources of knowledge to improve the quality of responses. This natural language processing (NLP) technique is commonly used to make large language models (LLMs) more accurate and up to date. LLMs are AI ...
E-books The Big Book of GenAI The Compact Guide to RAG The Big Book of MLOps Demos Deploy Your LLM Chatbot With Retrieval Augmented Generation (RAG), llama2-70B (MosaicML Inferences) and Vector Search Contact Databricksto schedule a demo and talk to someone about your LLM and retrieval aug...
Astra DB gives developers the APIs, real-time data and complete ecosystem integrations to put accurate GenAI apps in production—FAST. Retrieval-augmented generation vs. semantic search RAG and semantic search are both advanced AI techniques but serve different purposes. RAG combines information retrieva...
Is Generative AI (Genai) different than Large Language Models (LLMs)?What is Generative AI (Gen AI) security?What is Retrieval-Augmented Generation (RAG)?What is Retrieval-Augmented Generation (RAGs) used for?What are the benefits of Retrieval-Augmented Generation (RAG)?Are there security risks...
Content creation and marketing: GenAI automates the creation of high-quality, relevant content such as marketing materials, product descriptions, and reports. With RAG, this content is enriched with data and insights, ensuring it is creative and accurate. ...
GenAI Benefits The value of GenAI is realized through how its generated content is used by individuals and businesses to improve daily life and achieve goals: Personalization:Generative AI can be used to personalize products, services, and experiences based on individual preferences and needs. For ex...
This is where RAG comes to play by adding database capabilities to an LLM Application. So, instead of fitting data into the LLM every time we launch a new GenAI service or product, we can allow the LLM direct access to the relevant data while generating an answer to the user’s prompt...
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