Serverless vector database for AI that stores data in Lance format.
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An agentic RAG application built with the Agno framework, featuring GPT-5 and LanceDB for efficient knowledge retrieval and question answering.
An agentic Retrieval-Augmented Generation system that exposes step-by-step reasoning and thought processes in real time using Agno, Gemini, and OpenAI over dynamic web sources.
This Streamlit app demonstrates an agentic Retrieval-Augmented Generation (RAG) Agent using Google's EmbeddingGemma for embeddings and Llama 3.2 as the language model, all running locally via Ollama.
Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs.