01 · ingest · vectorize into atlas
Watch the corpus vectorize.
Each item becomes ~2 chunks; each chunk becomes one 768-d vector indexed into MongoDB Atlas vector search.
0 / 242
items → done
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chunks
0 / 268
vectors → atlas
skip to end
01
fetch
02
parse
03
chunk
04
embed
05
index
by source
| ✉ |
Gmail email
|
103 | connected |
| ◷ |
Google Calendar calendar
|
55 | connected |
| ※ |
Slack slack
|
30 | connected |
| ⌗ |
Google Drive shared_doc
|
12 | connected |
| ❡ |
Notion notes
|
10 | connected |
| § |
Linear issues
|
— | available |