01 / Writing

Notes from the build.

Architecture, .NET, cloud, AI, and graph databases — written from production, not theory.

All.NET 28AI 15C# 12Graph Databases 9Architecture 8NebulaGraph 8ASP.NET Core 7.Net Core 6AI Agents 5Postgresql 5EF Core 4MCP 4Agentic Coding 3Claude Code 3Edge AI 3Graph Database 3IoT 3Knowledge Graph 3LLM 3RAG 3Semantic Kernel 3Vector Search 3nGQL 3Agent Framework 2Agent Memory 2ArangoDB 2Azure 2Blazor 2Claude 2Developer Tools 2OpenAI 2Security 2Semantic Search 2Software Engineering 2Tech 2TimescaleDB 2.Net Core Push Notification 1AWS Deployment 1AWS Lambda 1Access Management 1Agents 1Agile 1Anthropic 1Arduino 1Authentication 1Benchmark 1CDK 1CORS 1CQRS 1Code Quality 1Code Review 1Context Engineering 1Custom Claim 1Data Engineering 1Databases 1ESP32 1Embedded 1Embeddings 1EntraId 1Function Calling 1IAC 1IBM MQ 1Infrastructure as Code 1JWT 1MediatR 1Message Queue 1Microsoft.Extensions.AI 1Multi-Agent 1MySQL 1Neo4j 1Npgsql 1Observability 1OpenTelemetry 1Postgres 1Productivity 1Raspberry Pi 1Recommendation Systems 1Remote Work 1Research 1Rust 1Scrum 1SignalR 1Software Architecture 1Team Leadership 1Technical Debt 1Testing 1WebMCP 1Windows Universal App 1pgvector 1

Featured · October 16, 2026 · 16 min

Why Agents Need a Knowledge Base: The Gaps an LLM Can't Fill by Itself

A model knows only what was in its training data, up to its cutoff, and very little about specialised fields or your own systems. Here are the four gaps a knowledge base fills in an agentic system, why a 1M token context window doesn't close them, and how to expose one to an agent in C#.

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