Context Enrichment
Context enrichment is Pando doing its homework before answering. Think of a colleague who, on the way to the meeting, pulls the right folder from the cabinet and skims it. When you send a message, Pando quietly looks through your notes, your code and your past conversations, and brings along what looks useful. You only see a better answer.
What it does for you
- Answers that know your project. Pando arrives with the relevant files and notes already in hand, without you pointing at them.
- Less explaining. You do not need to paste the same background into every conversation.
- Three places searched at once: your knowledge base, the map of your code, and what happened in earlier sessions.
- Only the good finds. Weak matches are thrown away before they reach the model.
How it feels in practice
In its simple form it is invisible: one quick round of searches before each answer.
There is also a more thorough form. A small helper does several rounds of searching, the way a librarian goes back to the shelves a few times, and hands the main agent a tidy summary. With it on:
- By default it runs on the first message of a session, which is the moment Pando knows the least about your project.
- You see it working: a line in the chat says the helper is gathering context, and then how much it added.
- Its work is saved as a small side session that you can open to read exactly what it searched and found.
- If it takes too long or finds nothing, Pando falls back to the simple search, so you never end up with less than before.
- It is prepared while Pando starts, so your first message does not wait for it.
The helper uses its own model, separate from the one you chose for coding. A cheap, fast one is enough.
When to use it
Turn it on once your project has something worth looking up: an indexed codebase, a folder of notes, some history. On a brand-new empty project there is nothing to find yet.
Good to know
- Every find that is brought along takes up room in the conversation. You choose how many are allowed from each place.
- An optional filter, run by a tiny decision model, can discard finds that do not fit your question.
- The thorough form costs a little extra, because the helper is a model too. Its cost is added to the session.
- Pando also sizes up each message (is it about code, a bug, an explanation?) to leave out instructions that do not apply, which saves tokens.
Next steps
- Guide: Teach Pando your project with Remembrances.
- Reference: Remembrances configuration.
- Related: Persistent memory.