Artificial Intelligent (AI) agent processing query request and generating documents as output. The AI agent uses Large Language Model (LLM) and Knowledge Base (KB) database.
Retrieval Augmented Generation (RAG) concept diagram. RAG enhances the result of a query by using the Retrieval Model and the pre-trained Large Language Model (LLM).
Retrieval Augmented Generation (RAG) concept diagram. RAG enhances the result of a query by using the Retrieval Model and the pre-trained Large Language Model (LLM).
Agentic chunking blue gradient concept icon. Information complexity. Level of segmentation strategy in RAG. Round shape line illustration. Abstract idea. Graphic design. Easy to use in presentation
RAG or retrieval augmented generation for precise response outline diagram. Labeled educational scheme with user question, prompt and answer from artificial intelligence bot vector illustration.
Retrieval Augmented Generation (RAG) concept diagram. RAG enhances the result of a query by using the Retrieval Model and the pre-trained Large Language Model (LLM).
Artificial Intelligent (AI) agent processing query request and generating documents as output. The AI agent uses Large Language Model (LLM) and Knowledge Base (KB) database.
Retrieval Augmented Generation (RAG) concept diagram. RAG enhances the result of a query by using the Retrieval Model and the pre-trained Large Language Model (LLM).
Artificial Intelligent (AI) agent processing query request and generating documents as output. The AI agent uses Large Language Model (LLM) and Knowledge Base (KB) database.