Semantic search
Find relevant information, not just keyword matches.
Give teams a living organizational brain that captures, structures, and retrieves the right context with provenance.
Knowledge & Memory connects documents, decisions, code, tickets, releases, and conversations into retrievable context.
Find relevant information, not just keyword matches.
Preserve the full context of events and outcomes.
Share knowledge while respecting boundaries and roles.
Show sources, lineage, and confidence for every answer.
Assemble the right context from many sources.
Enforce permissions and retention at every step.
The memory lifecycle keeps organizational knowledge useful and safe.
Ingest knowledge from systems.
Extract and organise metadata.
Embed into graph and vector stores.
Find the right context.
Deliver context in real time.
Capture outcomes and improve.
See sources, search results, capture events, and knowledge updates as the memory layer evolves.
| Source | Items | Freshness | Status |
|---|---|---|---|
| Product docs | 124,532 | 2m | Healthy |
| Engineering chats | 87,421 | 4m | Healthy |
| Architecture specs | 42,731 | 6m | Healthy |
| Support tickets | 63,889 | 8m | Healthy |
Product documentation refreshed.
Decision and rationale stored.
Services, APIs, errors, and owners.
Context precision improving across product and engineering sources.
Knowledge sources stay useful through continuous capture, retrieval, and governance.
Wikis, docs, guides, runbooks, playbooks.
Jira, Linear, ServiceNow, GitHub.
Repositories, diffs, releases, comments.
Transcripts, conversations, decisions.
Changelogs, incidents, deploys.
ADRs, roadmaps, OKRs, RFCs.
Build on what your team already knows with context that compounds.
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