Building an MCP server is mostly a writing problem, not an engineering one. A practical six-step walkthrough - transport, tools, descriptions that actually work, error handling and the security rules that matter.
n8n AI agents let you automate messy, unpredictable work instead of rigid flowcharts. Here are 8 proven agent workflows, a step-by-step build, real costs and the 6 mistakes that break them in production.
A hands-on ranking of the 7 best vector databases for RAG in 2026 - Qdrant, pgvector, Weaviate, Milvus, Pinecone, Chroma and OpenSearch - with honest scaling limits and a 10-minute decision framework.
Retrieval-augmented generation explained without the jargon: what RAG actually does, how it compares to fine-tuning and long context, the six ways it goes wrong and how to tell if yours is working.
Chunking can swing retrieval recall by around nine points on the same corpus. Seven chunking strategies compared - fixed, recursive, structural, semantic, parent-child, late chunking and contextual retrieval - with a five-minute decision guide.
There are 22,000+ MCP servers and several of the most recommended ones are quietly archived. Here are 15 worth connecting, ranked by how well maintained they are, plus how to vet one before you install it.
