Aeion Search for Internal Knowledge Bases
McKinsey says knowledge workers spend 1.8 hours/day searching for information. Most of that time isn't searching — it's choosing which silo to search first. Guru indexes Slack but not Confluence. Confluence indexes pages but not Jira comments. Notion search misses Linear issues. Aeion Search federates EVERY collection into one Cmd+K palette, scoped to your RBAC, with hybrid RRF retrieval. Walkthroughs for engineering wikis, sales enablement libraries, HR helpdesk knowledge.
What Internal Knowledge Search Demands
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Walkthrough — Engineering Knowledge Base
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Walkthrough — Sales Enablement Library
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Walkthrough — HR Helpdesk Self-Service
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FAQ
Every collection query automatically inherits the user's identity and tenant. Per-collection access rules apply automatically. Confidential pages, archived issues, private threads — all filtered per-user.
Native Postgres triggers. The millisecond a wiki page is saved, it's searchable. No sync lag, no batch jobs.
Aeion Connect captures messages into your unified inbox. Email via the Singularity connector. Both federated into Aeion Search natively.
Singularity connectors mirror external data into your collections. Once mirrored, federated search covers them like any native collection.
SQL boost expressions + user-history embedding. No ML pipeline required for basic per-user re-ranking.
Logged and flagged automatically in the search analytics dashboard, so content owners can spot knowledge gaps.
Per-locale full-text vectors + per-locale embeddings. Query in employee's locale, fall back to canonical locale.
Click position is tracked to measure mean reciprocal rank (MRR). Trend over time → quality regression detection.
See the agentic-RAG-retrieval use-case page — same RRF substrate, exposed via the AeionClaw memory API.
Glean: $50-150/user/month. Aeion: $0 platform + ~$0.0001/embedding refresh. For a 1K-employee org, 5-year TCO swings $3M+ in Aeion's favor.