Advanced 16 min Mar 4, 2026
Advanced Retrieval in BlueRobin: Embeddings, Graphs, and Context How BlueRobin combines multi-model vector search, Reciprocal Rank Fusion, knowledge graph traversal, and full-document context assembly to answer complex questions across your entire archive.
Intermediate 13 min Mar 4, 2026
BlueRobin Archives: From Raw Upload to Searchable Intelligence A walkthrough of how BlueRobin transforms any uploaded document — PDF, image, or Office file — into a fully analysed, encrypted, and semantically indexed record.
Advanced 15 min Mar 4, 2026
BlueRobin's Knowledge Graph: Turning Documents into Connected Entities How BlueRobin extracts named entities from every document, resolves them into a canonical taxonomy, and stores a property graph that connects people, organisations, dates, and events across your entire archive.
Advanced 10 min Feb 23, 2026
Figma MCP: The Self-Optimizing Design Loop How we use Model Context Protocol to create a closed-loop design system where agents verify implementation against Figma specs automatically.
Advanced 12 min Feb 21, 2026
Aligning Design with Code using MCP Server for Figma Bridging the gap between design and development by using the Model Context Protocol (MCP) to automate UI generation from Figma to Blazor.
Intermediate 8 min Feb 18, 2026
Model Policy Governance and Token Usage Tracking Implementing model policy management and token accounting so LLM features remain cost-aware and governable at platform scale.
Intermediate 10 min Feb 13, 2026
AI Strategy: Why We Moved from Local Llama to OpenAI A pragmatic analysis of the costs, performance, and complexity of running local LLMs versus cloud providers, and why we adopted a hybrid architecture.
Intermediate 8 min Dec 28, 2025
LangGraph State Collisions: Lessons from a Real Production Fix What happens when agent graph node names collide with state keys, and how to design LangGraph flows that remain safe under change.
Advanced 10 min Dec 24, 2025
GraphRAG Routing in .NET: Safe Fallback Between Classic RAG and Agent Retrieval How to introduce an agent-based retrieval routing layer with health-aware fallback to keep retrieval reliable in production.
Advanced 11 min Dec 20, 2025
Hybrid Retrieval with Graph Filters: FalkorDB + Qdrant A production blueprint for combining graph traversal and vector search to improve recall and precision in document retrieval.
Advanced 10 min Dec 15, 2025
From Single-Model NER to Ensemble NER: Adding spaCy + LLM Voting How to evolve entity extraction by combining deterministic and LLM-based providers with confidence-aware ensembling.
Advanced 9 min Dec 10, 2025
Agentic RRF Ensembling for Production Search How to combine multiple retrieval strategies with reciprocal rank fusion to produce stable, high-quality contexts for LLM responses.
Advanced 22 min Dec 5, 2025
Semantic Kernel Agents for AI Orchestration Build intelligent AI agents using Microsoft Semantic Kernel with tool calling, memory, and multi-agent coordination in .NET.
Advanced 15 min Nov 28, 2025
Entity Analysis and Modeling for Graph Databases How to extract entities (NER) from documents using LLMs and model them effectively in FalkorDB for knowledge graphs.
Intermediate 16 min Nov 14, 2025
NER with spaCy for Document Analysis Extract named entities from documents using spaCy NLP service for building knowledge graphs and improving search relevance.
Advanced 12 min Nov 7, 2025
Improving RAG Query Quality and Relevance Techniques for rewriting user queries (HyDE, Expansion) and reranking results to boost retrieval accuracy in Retrieval-Augmented Generation.
Expert 30 min Oct 31, 2025
Building a RAG Pipeline with Ollama and Qdrant Implement a complete Retrieval-Augmented Generation pipeline that combines semantic search with local LLM inference for intelligent document Q&A.
Advanced 25 min Oct 24, 2025
Hybrid Search: Combining Semantic and Keyword Search Build a powerful hybrid search system that combines vector embeddings with traditional keyword search for comprehensive document retrieval.
Advanced 22 min Oct 8, 2025
Building a Semantic Embedding Pipeline with Ollama and Qdrant Create a production-ready embedding pipeline in .NET that generates vector embeddings with Ollama and stores them in Qdrant for semantic search.
Intermediate 14 min Sep 30, 2025
Text Chunking Strategies for RAG Implement effective text chunking strategies for RAG pipelines with semantic boundaries, overlap, and metadata preservation.
Intermediate 16 min Sep 23, 2025
Integrating Docling OCR in a .NET Document Pipeline Learn how to integrate Docling, an AI-powered document understanding library, into your .NET application for high-quality OCR with layout preservation.