MCP server frameworks compared: FastMCP vs the official Model Context Protocol SDKs vs alternatives - transports, auth, ergonomics, deployment. 2026 decision guide.
LLM function calling explained: JSON-schema tool definitions, parallel tool calls, the agent loop, routing, validation and failure handling in a production tool-use architecture.
Matryoshka embeddings explained: how Matryoshka Representation Learning nests multiple dimensions in one vector for adaptive retrieval - coarse-to-fine search, storage cuts, MRL training and failure modes in 2026.
Kimi K3 explained: Moonshot AI's 2.8T-parameter open-weight MoE - Kimi Delta Attention, 1M-token context, training, benchmarks, deployment cost and honest limits of the reasoning model in 2026.
Hybrid search architecture explained: fusing BM25 sparse retrieval with dense vector search using Reciprocal Rank Fusion - indexing, scoring, rerankers, latency and failure modes for production RAG in 2026.
Physical Intelligence pi0.5 explained: the ~3.3B vision-language-action robot foundation model - architecture, FAST action tokenization, training on 10+ embodiments, benchmarks, deployment and honest limits in 2026.