A deep dive into Agentic File Query — an AI-powered document search built with Google ADK, Gemini, and Docling. Instead of traditional RAG, the agent uses a three-phase Scan → Deep Dive → Backtrack strategy to intelligently navigate document folders and produce cited answers.
An in-depth look at the Gemini API File Search Tool, a managed RAG solution that simplifies retrieval pipelines, offers semantic search, and provides built-in citations, making it easier for developers to build grounded AI applications.
Learn how combining Corrective RAG and OpenEvals enables LLM agents to verify their sources and answers, resulting in more accurate and reliable AI responses.
A type-safe AI document analysis engine built with RAG
A type-safe AI news research agent built with Pydantic-AI, Gemini 2.0 Flash, and Tavily Search
A practical implementation of a microservices-based e-commerce platform using Spring Boot, Docker Compose, and event-driven architecture
A Java-based platform using Spring Boot, React, PostgreSQL, and Gemini Pro API to provide AI-driven football player analytics and insights