WISZNIEWSKYPaweł Wiszniewski – SEO & GEO Specialist & AI Engineer

AI Engineer Course

Zero to Professional

LLM APIs, RAG, GraphRAG, AI agents, LLMOps and enterprise clouds.

SEO + GEO Course

Visibility in the AI Era

Optimization for ChatGPT Search, Perplexity and Google AI Overviews.

Vector Databases — pgvector, Pinecone, Qdrant or Weaviate? How to Choose for RAG and AI Memory

The complete guide to vector databases: what they are and why you need them for RAG, when pgvector in Postgres is enough and when you need a dedicated database, a pgvector vs Pinecone vs Qdrant vs Weaviate vs Milvus comparison (latency, cost, scale), the difference between HNSW and IVFFlat indexes, deployment code in pgvector, hybrid search and metadata filtering, and common migration mistakes.

LLM Evaluation (Evals) — How to Measure AI Application Quality with LLM-as-a-Judge

The complete guide to evaluating LLM applications: how evals differ from tests, how to build a golden dataset from real failures, how LLM-as-a-judge works and why it agrees with humans ~85% of the time, which metrics to measure (faithfulness, hallucination, answer relevancy), how to avoid judge biases, how to wire evals into CI/CD, and which tool to choose — DeepEval, Ragas, Promptfoo or Braintrust.

MCP (Model Context Protocol) — One Standard to Connect AI to All Your Company's Tools

The complete guide to MCP: what problem the protocol solves, how the host–client–server architecture works, how it differs from function calling and OpenAPI, how to build your own MCP server in Python and TypeScript, which ready-made servers to plug into your business tools, and how to secure the deployment against tool poisoning.