Article archive
This is a comprehensive list of all our blog posts produced throughout the years. We are dedicated to create high quality content around data and AI. If you find our texts helpful, please let us know, it means the world to us.
Our content is mainly of technical nature and covers - among other things:
- Machine Learning
- Large Language Models
- Data Architecture
- Data Warehousing
- Running an MCP Server for BigQuery: Connect Your Data Warehouse to AI Agents
- Introduction to RAGFlow: Open-Source RAG Engine with Deep Document Understanding
- LLM Sampling with FastMCP: Using Client LLMs for Scalable AI Workflows in your MCP
- Automating MCP Server Creation from OpenAPI and FastAPI
- Creating an MCP Server Using FastMCP: A Comprehensive Guide
- Langfuse: The Open Source Observability Platform for building better LLM Applications
- Integrating n8n with Open WebUI: Building advanced AI chatbots and workflows
- Building High-Quality AI Agent Systems: Best Practices
- Building Powerful AI Agents with smolagents: A Minimalist Approach
- DeepSeek R1 On-Prem Setup: Run Advanced AI Models on Your Hardware with SGLang
- Building Better AI Applications with LLM Tracing using Opik
- Building AI Agents with n8n: Low-Code approach to AI workflows
- Enhancing Self-Made Agent with Memory: Keeping Context for Better Conversations
- Advanced Self-Made Agent: Building a Smarter, Multi-Step AI Agent
- How to Build AI Agents Without Frameworks: A Step-by-Step Guide
- Azure AI Search RAG Tutorial 2025: Complete Guide to Building Enterprise Retrieval Systems
- Azure OpenAI Content Filters: The Good, The Bad, and The Workarounds
- Crawl4AI Tutorial: Build a Powerful Web Crawler for AI Applications Using Docker
- Late Chunking: Improving RAG Performance with Context-Aware Embeddings
- DSPy Tutorial 2025: Build Better AI Systems with Automated Prompt Optimization
- What is Libre Chat? The best alternative to Open WebUI and ChatGPT
- How to create LLM tools from any Python SDK using langchain-autotools
- How to crawl websites for LLMs - using Firecrawl
- Azure AI Studio: How to evaluate and upgrade your models, using the Prompt Flow SDK
- Saving costs with LLM Routing: The art of using the right model for the right task
- RAG, Embeddings and Vector Search with Google BigQuery
- Parsing pdf, word and excel documents with GPT-4o
- How to classify, describe and analyze images using GPT-4o vision
- What is Open WebUI? The best self hosted, open source ChatGPT alternative?
- What is the VertexAI model garden - a practical example: Deploying Llama 3.1 and Claude 3.5 Sonnet
- Fine-tune OpenAI's GPT-4o mini LLM AI model for free
- Neo4j LLM Knowledge Graph Builder: How to Create Knowledge Graphs for RAG
- How to Chat with Your BigQuery? Introducing semantic search to databases.
- How to finetune LLMs
- LLM Document Extraction: How to use AI to get structured data from legacy documents
- Using AI directly from your database - with PostgreSQL and pgai
- KAN: Is this the end of feedforward networks?
- LLM Safety with Llama Guard 2
- How to use AI to create a PowerPoint presentation?
- What is the Google Vertex AI Agent Builder - A practical example: Google Search with Slack.
- BitNet: LLM Quantization at its Extreme
- Chat with your Confluence: A Step-by-Step Guide using Airbyte, Langchain and PGVector
- Advanced RAG: Improving Retrieval-Augmented Generation with Hypothetical Document Embeddings (HyDE)
- GenAI: Technological Masterpiece or Ecological Disaster?
- 11 Proven Strategies to Reduce Large Language Model (LLM) Costs
- How to boost your database performance with OpenAIs new v3 embeddings
- Introduction to Retrieval Augmented Generators (RAG): Enhancing Virtual Assistants with Domain-Specific Knowledge
- Advanced RAG: Increase RAG Quality with ColBERT Reranker and llamaindex
- Advanced RAG: Recursive Retrieval with llamaindex
- How to Set Up a Secure, Self-Hosted Large Language Model with vLLM & Caddy
- Improving Retrieval Augmented Generation: A Step-by-Step Evaluation of RAG Pipelines
- Integrating enterprise knowledge with LLMs