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A guidance language for controlling large language models.
This GitHub repository contains the complete code for building Business-Ready Generative AI Systems (GenAISys) from scratch. It guides you through architecting and implementing advanced AI controllers
β¨ A curated list of awesome community resources, integrations, and examples of Redis in the AI ecosystem.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for
Learn to build AI agents with Strands framework. Covers LLM integration via Amazon Bedrock/Anthropic, AWS service connections, tool implementation with MCP/A2A protocols, and agent evaluation using La
2026 swarm Agent εΉ΄οΌswarm Agent γAgent teamγ ai codingγskillγmemoryγevolveγagentic RL η AI Agentιε
Comprehensive Vector Data Tooling. The universal interface for all vector database, datasets and RAG platforms. Easily export, import, backup, re-embed (using any model) or access your vector data fro
CoexistAI is a modular, developer-friendly research assistant framework . It enables you to build, search, summarize, and automate research workflows using LLMs, web search, Reddit, YouTube, and mappi
π€ Build and explore powerful AI agents that solve real-world tasks using tools, memory, and reasoning within a collaborative hub.
Generate a custom newspaper with an AI agent based on your favorite YouTube channels.
Detect underpriced products by scraping deals and using AI models to estimate fair prices for profit opportunity identification.
π€ Analyze financial data effortlessly with FinRobot, an open-source AI agent platform powered by large language models for insightful decision-making.
Reference Implementations for the RAG bootcamp
Learn to build and customize multi-agent systems using the AutoGen. The course teaches you to implement complex AI applications through agent collaboration and advanced design patterns.