Explore open-source implementations leveraging LanceDB for agent tool use, vector indexing, evaluation, and LLM orchestration.
An agentic RAG application built with the Agno framework, featuring GPT-5 and LanceDB for efficient knowledge retrieval and question answering.
You'll need the following API keys: streamlit run ragreasoningagent.py 4. Configure API Keys:.
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.
