- engineering 21
- agents 14
- claude-code 12
- rag 10
- memory 7
- architecture 6
- operations 5
- migration 4
- security 4
- hooks 3
- vault 3
- durability 2
- honest-tradeoffs 2
- multi-agent 2
- query-planner 2
- queues 2
- self-hosting 2
- skills 2
- storage 2
- transactions 2
- afk 1
- chunking 1
- compliance 1
- concurrency 1
- context-engineering 1
- cost 1
- cost-tracking 1
- data 1
- decision-frameworks 1
- disaster-recovery 1
- evals 1
- firebase 1
- hardware 1
- incident 1
- intro 1
- isolation 1
- kubernetes 1
- learning 1
- manifesto 1
- mcp 1
- mongodb 1
- observability 1
- ops 1
- performance 1
- persistence 1
- pgvector 1
- postgres 1
- regression-testing 1
- sagas 1
- sdk 1
- search 1
- slash-commands 1
- stride 1
- threat-model 1
- tutorial 1
- vector 1
- wal 1
- MAY 2026
Chunking inside the engine: when the DB owns segmentation
Most RAG stacks chunk in Python glue between Postgres and a vector store. The result is a second pipeline that drifts. This post walks through what it looks like when chunking is a declarative rule attached to a column, reranking is a query operator, and the engine — not the application — owns segmentation.
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Hybrid search done right: lexical, vector, and filter in one plan
A walk through the RedDB query planner fusing BM25, vector similarity, and a structured filter into a single execution plan — with EXPLAIN output, the cost model behind it, and what happens on the edge cases that trip up naive two-stage rerankers.