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Vectorization & RAG

Your data, instantly searchable.

Every record is embedded automatically the moment it lands. Semantic search and RAG come standard — so your agents answer from your knowledge, not their guesses. No vector DB to wire.

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Semantic search · workspace
auto-embedded
⌕ "customers unhappy about late delivery"
0.94Ticket #91 — refund over 5-day delay
0.91Order #482 — shipping delayed, customer upset
0.88Review — "arrived late, disappointed"
3 tables vectorized · 12,402 chunkscosine · top-k
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vector DBs to set up — it's native
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of records embedded automatically
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chunks indexed in this workspace
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switch to turn RAG on per table
Retrieval that just works

RAG, without the plumbing.

The hard infrastructure problem, solved inside the workspace.

Auto-embedding

New and updated rows are vectorized in the background, instantly.

Semantic search

Find by meaning, not keywords — across every table you choose.

Grounded agents

Agents retrieve your real records before they answer.

Per-table control

Turn vectorization on or off per table, with the same permissions.

Knowledge bases

Drop in docs and they become retrievable context for agents.

Scoped & private

Retrieval respects roles — agents only recall what they may read.

Closes the loop

Smart Tables that remember.

Because vectorization lives next to your tables, your agents and your Vibe-Coded apps share one brain. Ask a question, get an answer grounded in the exact rows that matter.

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Agent · grounded reply
rag on
Support Agentanswering from your data
RAG

Give your AI your knowledge.

Automatic vectorization and RAG, native to your workspace. Start free.

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