All loops
RAGMedium 15 min· claude-opus-4-1
Time-aware RAG
Boosts recency in retrieval for fast-moving corpora.
Read the full RAG build guide →NOT DEPLOYEDNOT DEPLOYED
0145ms
Trigger
cron(0 7 * * *) fired · every day · 07:00
021225ms
Agent
claude-opus-4-1 · in 1725 tok · out 733 tok
03215ms
Tools
postgres-mcp/anthropic:messages.create → 200 OK · 105ms
0435ms
Verify
schema check · zod v3 passed
05125ms
Output
12 chunks embedded · pgvector upsert
0645ms
Notify
audit log written · runbook link attached
SUCCESS
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0 runs
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AVG COST
—
per run
LAST OK
never
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LAST FAIL
never
none
Latency · last 30 runs0 samples
no runs yet
Latest output · what your users see
RAG index · helpdesk-2026
chunks
13
faithfulness
0.93
recall
0.83
Q: How do I rotate a secret without restarting the loop? A: Call `locker rotate <name>` — running loops pick up the new value on their next tick via the signed refresh channel.
// press Test to run once · Watch live to keep streaming · Deploy to make it real
The problem
Naive RAG embarrasses you in front of users — irrelevant chunks, no citations, drift.
The outcome
A measurable, evaluable RAG pipeline with cited answers and a quality dashboard.
Ingredients & skills
Secrets
- ANTHROPIC_API_KEY
- DATABASE_URL
Providers
- Anthropic
- Lovable Cloud
MCP servers
- postgres-mcp
- fetch-mcp
#rag#embeddings#quality
How it works
Boosts recency in retrieval for fast-moving corpora.
Step 1
1 — Index
Chunk → embed → upsert into pgvector with a metadata JSON column.
Step 2
2 — Retrieve
Top-k vector + filter on metadata. Optional rerank pass.
Step 3
3 — Answer
Claude answers using only retrieved chunks. Empty retrieval ⇒ 'I don't know'.
One-line deploy
The button above runs the same command with your saved config. This is the raw CLI form.
bash
npx claudeloops deploy time-aware-rag