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65 articles and courses
How I Built Semantic Search Over 300 Million Plus Academic Papers
What I learned building semantic paper search for Rivul AI on one machine: a retrieval funnel of BGE-small, FAISS IVF-PQ, INT8 re-scoring and title matching, plus ranking, filters and read-time fixes.
ArticleBuilding a Local, Multimodal AI Terminal Agent with Gemma 4
A fully local terminal agent built on Gemma 4 and Ollama that combines text, vision, and voice with function calling and tool orchestration — no cloud APIs required.
ArticleBuilding a RAG Agent with Google ADK, Antigravity SDK, Agent Skills, A2UI, and Gemini Enterprise
A grounded RAG agent built with Google's Antigravity SDK, Agent Skills, and A2UI on top of Gemini Enterprise Agent Platform's serverless RAG engine — from document storage in GCS to vector indexing, grounded retrieval, and structured UI streaming.
ArticleFour Layers of Agent Engineering
Most agent bugs get blamed on the model. Most of them actually live in one of four layers: context, loop, harness, or graph. Here's how I tell them apart.
ArticleTop 30 AI/ML Terms Every Developer Should Know
A comprehensive glossary of 30 must-know AI and Machine Learning terms. From neural networks to RAG, transformers to agentic AI - explained simply.
ArticleGoogle ADK - MCP Toolbox for Databases (PostgreSQL)
Connect ADK agents to PostgreSQL databases using MCP Toolbox for enterprise-grade data access.
ArticleGoogle ADK - Events
Understand the event system for real-time streaming and debugging.
ArticleGoogle ADK - Artifacts
Store and manage files, images, and data produced by agents.
ArticleGoogle ADK - Callbacks
Intercept and customize agent behavior at various execution points.
ArticleGoogle ADK - Context Management
Optimize agent performance with context caching and compression techniques.
ArticleGoogle ADK - Model Context Protocol (MCP)
Understanding the Model Context Protocol - architecture, connection types, and production patterns.
ArticleGoogle ADK - Session, State & Memory
Manage conversation history, state, and memory for multi-turn interactions.
ArticleGoogle ADK - Third Party Tools (GitHub, Firecrawl)
Connect your agents to external services for version control and web content extraction.
ArticleGoogle ADK - Multi-Tool Agents
Build agents that leverage multiple tools together to accomplish complex tasks.
ArticleGoogle ADK - OpenAPI Tools with Authentication
Transform OpenAPI-defined APIs into agent tools and configure authentication for secure access.
ArticleGoogle ADK - Custom Function Tools
Build custom functions that add specialized capabilities to your agents beyond built-in tools.
ArticleGoogle ADK - Built-in Tools (Vertex AI Search)
Build agents that can search across your enterprise data using the Vertex AI Search built-in tool.
ArticleGoogle ADK - Built-in Tools (Vertex AI RAG Engine)
Learn how to use the Vertex AI RAG Engine built-in tool to create grounded agents with your own data.
ArticleGoogle ADK - Built-in Tools (Google Search, Code Executor)
Explore the Google Search and Code Executor built-in tools.
ArticleGoogle ADK - Multi-Agent Systems
Compose multiple agents into hierarchical systems for complex applications using agent composition patterns.
ArticleGoogle ADK - Workflow Agents (Sequential, Loop, Parallel)
Create dynamic task flows with sequential, loop, and parallel workflows in Google ADK.
ArticleGoogle ADK - Building LLM Agents
Build intelligent, model-powered agents with Google ADK.
ArticleGoogle ADK - Setting Up Agents (CLI, Web, Programmatic)
Learn how to set up and run ADK agents using three different methods: command-line interface, web interface, and programmatic Python approach.
ArticleGoogle ADK - Getting Started
Introduction to ADK – Overview, environment setup, and your first agent.
ArticleGoogle ADK - Visual Agent Builder
Google ADK Visual Agent Builder to build and manage AI agents without coding
ArticleRAG Simplified with Google Gemini API's File Search Tool
RAG implementation using Gemini API's File Search tool
ArticleBuild and Deploy RAG Agents to Agent Engine using Agent Starter Pack(ASP)
Production-Grade RAG with ADK
ArticleGemini CLI Extensions for Figma MCP Server
Gemini CLI Extensions for Figma
ArticleBuild Gemini CLI and Figma MCP Server - Turn Design into Code
Gemini CLI and Figma Integration
ArticleBuild AI Shopping Assistant on GKE with ADK and MCP
AI Shopping Assistant on GKE
ArticleBuild a RAG application with Gemini Embeddings and Vertex AI Vector Search
RAG Pipeline with Gemini
ArticleBuild ADK (v1.2.0+) Agents Using MCP Tools
ADK Agents with MCP Tools
ArticleBuild a RAG Agent using Google ADK and Vertex AI RAG Engine
RAG Agent with Google ADK
ArticleBuild a GitHub Agent Using Google ADK and OpenAPI Integration Tool
GitHub Agent with Google ADK
ArticleBuild AI Agents with Google ADK, Gemma 3, and MCP Tools
AI Agents with ADK and Gemma 3
ArticleBuild Multi-Agent AI App with Google's A2A (Agent2Agent) Protocol, ADK, and MCP
Multi-Agent AI App with Google's protocols
ArticleBuild AI Agents with ADK as MCP Client
ADK as MCP Client Deep Dive
ArticleModel Context Protocol(MCP) with Google Gemini LLM
MCP with Gemini LLM
ArticleModel Context Protocol (MCP) with Ollama and Llama3
MCP with Ollama and Llama3
ArticleModel Context Protocol (MCP) with Ollama
MCP with Ollama Part 1
ArticleBuild Agent with Function Calling using Gemma3 and Ollama
Function calling with Gemma3
ArticleMCP Toolbox with PostgreSQL using LlamaIndex AgentWorkflow
MCP Toolbox with PostgreSQL
ArticleBuild Vertex AI RAG Engine with Gemini 2 Flash LLM
Vertex AI RAG Engine
ArticleRun Gemma 3 LLM and LangChain locally with Ollama
Gemma 3 with LangChain and Ollama
ArticleBuild Agentic App using Gemini LLM and CrewAI
Multi-Agent AI travel planner
ArticleBuild AI Search and Summary App with Gemini 2 Flash and Crew AI
AI Search and Summary with Gemini
ArticleBuilding an AI Research Assistant — A Three-Part Series
Building an AI Research Assistant
Course · whatisai.fyiLearn AI, five minutes at a time
Understand AI in plain words, with clear diagrams and sources. Follow 29 short chapters across fundamentals, deep learning, language models, apps and agents, and production, evaluation, and safety.
Course · aiml.shAI Fundamentals
Build the parts of a docs assistant: model requests, context, structured output, document ranking, validated tool calls and evaluations.
Course · aiml.shModel Context Protocol (MCP)
Implement, test and secure MCP servers and clients, from stdio to a remote OAuth-protected service with scoped database access.
Course · aiml.shBuilding Agents with Google ADK 2.0
Build agents, tools and multi-step workflows with Google ADK 2.0, then evaluate them.
Course · aiml.shConnecting Agents to Tools and Services with Google ADK 2.0
Connect agents to BigQuery, databases through MCP Toolbox, Agent Search, Google Search and code execution, then add Skills and A2A.
Course · aiml.shRunning and Deploying Agents with Google ADK 2.0
Serve, observe, evaluate and deploy ADK agents with runtime controls, context caching, traces, simulated users, Cloud Run and Agent Runtime.
Course · aiml.shBuilding Live and Voice Agents with Google ADK 2.0
Stream audio and screen frames with ADK live agents, handle tools and sessions, test voice callbacks, and build a custom WebSocket bridge.
Course · aiml.shBuilding Agents with LangGraph
Build and compare self-contained code-review agents and workflows with LangGraph: tools, stop conditions, context and token budgets, timeouts, checkpoints, idempotent retries, verified outcomes, human approval and memory.
Course · aiml.shRetrieval-Augmented Generation (RAG)
Build developer-document search with LangChain and pgvector, then answer from retrieved text and charts with checked source references.
Course · aiml.shBuilding Agentic RAG Applications
Build a document-retrieval application with ingestion, hybrid search, context budgets, bounded search/read policies, FastAPI and MCP interfaces, and local evaluation and release controls.
Course · aiml.shLLM Evals
Test LLM features with pytest and DeepEval, measure RAG and tool-call quality per stage, and gate prompt, model and dataset changes on regressions in CI.
Course · aiml.shBuilding, Evaluating, and Deploying Agents with Google Agents CLI
Scaffold, enhance, upgrade, evaluate, deploy, publish and observe ADK agents across the full Google Agents CLI lifecycle.
Course · aiml.shBuilding AI Systems
Choose, measure and improve an AI system against explicit quality, latency, cost and failure requirements.
Course · aiml.shBuilding MLOps
Build the data, feature and training-artifact foundations of a reproducible MLOps pipeline.
Course · aiml.shBuild a Small Language Model From Scratch
Build and inspect a small one-block transformer and its complete local training and generation path.
Course · aiml.shAgent Design, Optimization and Harnesses
Choose a control policy, improve it on separated task data and independently verify bounded local actions.
Course · aiml.shContext and Memory Engineering for AI Agents
Assemble bounded model requests, compare context policies and maintain scoped memory with explicit provenance, retention and deletion rules.
News · whatisai.fyiAI Daily News
AI models, open-source tools, research, and trends, with original sources.
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