Your expert agents draw from curated knowledge bases, project conventions, and domain expertise — not just the codebase. The result: changes that match how your team actually works.
Confluence
340 pages indexed
docs · decisions · specs
GitLab
12 repos · 4 wikis
code · MRs · issues
ORQI
MIND
NotebookLM
56 knowledge bases
arch · security · ops
Web / SearXNG
live search · self-hosted
DuckDuckGo · Bing
Organize domain expertise into searchable, source-grounded knowledge bases. Expert agents query them automatically when working on related jobs.
Query multiple knowledge bases in parallel. Compare answers from different domains to get a complete picture before making decisions.
The platform automatically selects the right knowledge for each job within a token budget. Guardrails, conventions, SOPs, and domain expertise — prioritized and assembled.
Track when knowledge was last updated. Get alerts when knowledge becomes stale and needs refreshing. Keep your expert agents current.
Most AI tools only look at your codebase. Orqista goes further — expert agents understand your architecture decisions, coding conventions, security policies, deployment processes, and past incidents. This context makes the difference between generic suggestions and changes that actually fit.
Request access to see how domain knowledge transforms agent output quality.
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