rag — RedDB blog

May 2026 Agents · 26 · 4 min An MCP server for RedDB — one database, every agent CLI The Model Context Protocol lets every modern agent CLI — Claude Code, Codex, Cursor, Gemini CLI — share the same toolbelt. Wrap RedDB once and you give all of them agent memory, document storage, and semantic search through a single endpoint. Manifest, server, wiring.
Agents · 22 · 5 min Slash commands with memory — commands that learn between sessions A Claude Code slash command is a markdown file with a shell expansion. Wire that shell call to RedDB and the command stops being a stateless macro — /remember, /forget, /recall become a tiny CRUD app the agent uses for itself.
Agents · 18 · 4 min Skills as data — storing metadata, runs, and learned refinements in RedDB Claude Code skills are static SKILL.md files today. Promote them to first-class data — metadata, execution traces, success rates — and the agent can pick the right skill for a new task with a SQL query instead of a keyword-match heuristic.
Engineering · 17 · 11 min 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.
Engineering · 17 · 8 min 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.
Migration · 17 · 9 min Postgres + pgvector → RedDB: a migration playbook with wall-clock numbers A step-by-step playbook for moving a production Postgres + pgvector workload to RedDB — dual-write, embedding backfill, query translation, cutover, rollback — with measured timings from a 12M-row test corpus and the three places teams trip over.
Agents · 16 · 4 min RedDB as Claude Code's memory backend — beyond CLAUDE.md Swap the static MEMORY.md file for a queryable, embeddable memory layer. A SessionStart hook reads top-K memories into context, a /remember slash command writes them, and RedDB stores rows, vectors, and audit log in one transaction.
RAG · 12 · 8 min RAG without a second database When your vectors live on the same row as the document they describe, the entire CDC-and-backfill layer of a RAG pipeline disappears — and a class of stale-retrieval bugs goes with it.
Apr 2026 RAG · 27 · 6 min The drift window: why your RAG retrieves stale chunks A customer-visible failure mode unique to two-store RAG — source updates, queue lag, retrievals against the old embedding. Anatomy of one outage and how same-transaction writes eliminate the window.
RAG · 26 · 7 min Building an agent memory layer on RedDB A copy-pasteable schema for episodic, semantic, and procedural memory in a single database — with the queries that retrieve them and the bookkeeping that keeps them honest.

RedDB Cloud

Join the private beta.

One-click managed deploy. Free during beta. Founding pricing locked at GA.

Request access →