Pondhouse Data Blog
Integrating n8n with Open WebUI: Building advanced AI chatbots and workflows
Comprehensive guide to integrating n8n with Open WebUI, enabling automated workflows and advanced features for your AI chat interface. Perfect for developers seeking to extend their AI applications.
Building High-Quality AI Agent Systems: Best Practices
Learn the essential principles and best practices for designing robust, reliable, and effective AI agent systems that deliver real business value.
Building Powerful AI Agents with smolagents: A Minimalist Approach
Discover how smolagents provides a lightweight, flexible framework for building AI agents without the complexity of larger solutions. Learn how to create powerful agents with minimal code and maximum control.
DeepSeek R1 On-Prem Setup: Run Advanced AI Models on Your Hardware with SGLang
Learn how to run the impressive DeepSeek R1 language model on your own hardware using its distilled version and SGLang. Step-by-step guide for running one of the best LLMs on affordable hardware.
Building Better AI Applications with LLM Tracing using Opik
Struggling with LLM application debugging? This guide shows you how to use Opik for end-to-end tracing, monitoring, and evaluation. Learn practical techniques to make your AI applications better, with detailed examples and best practices.
Building AI Agents with n8n: Low-Code approach to AI workflows
Discover how to create AI agents using n8n—use a no-code/low-code platform to build robust workflows for AI and beyond.
Enhancing Self-Made Agent with Memory: Keeping Context for Better Conversations
Learn how to extend your advanced AI agent with memory to maintain conversation history and context, ensuring more coherent and context-aware responses.
Advanced Self-Made Agent: Building a Smarter, Multi-Step AI Agent
Step up your LLM-powered AI agent with multiple iterations, user clarification requests, and dynamic state management. Perfect for more complex tasks.
How to Build AI Agents Without Frameworks: A Step-by-Step Guide
Comprehensive tutorial for no-framework AI agent development using direct LLM interaction. Build smarter, more adaptable AI systems without the constraints of pre-built tools
Step-by-Step Guide: Building a RAG System using Azure AI Search
Build a RAG system with Azure AI Search: This step-by-step guide shows you how to integrate retrieval-augmented generation with Azure AI Search. Learn how to build more accurate and context-aware AI applications by combining retrieval and generation.
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