Hydrating context without the noise
The approach we are building to keep context focused so the system stays useful, not overwhelming.
Context is the difference between a clever answer and a useful outcome. We want Senza to feel grounded, not noisy.
The problem
Most RAG systems treat context as a fetch problem. Pull a pile of documents, hope the model figures it out. That works until it does not. The results become scattered, and people stop trusting the output.
We needed a way to keep context focused. Enough to act. Not so much that the system drowns.
How we approach it
This is the approach we are building toward. We break context into layers:
- Entity resolution to identify the people, projects, and artifacts in play.
- Relationship mapping to understand how they connect.
- Tiered retrieval to pull depth where it matters and summaries everywhere else.
This keeps the context precise without being brittle. The model has what it needs, but no more than it needs.
[Query]
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v
[Resolve entities]
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v
[Map relationships]
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v
[Retrieve focused context]Why it matters
Context quality matters more than quantity. When the system is focused, it feels calm. When it is noisy, it feels wrong.
If you want the broader philosophy, read The Senza Philosophy: From hype to human progress.