Data & knowledge
Company knowledge base
One searchable memory for everything the company knows.
- Store
- Search
- Graph
- AI
The scenario
Agents ingest documents and answer staff questions with references.
How it works
- 1Documents are stored and indexed.
- 2Entities and links are recorded in a graph.
- 3Answers are drawn from search with sources.
An illustrative scenario, not a customer story.
Interactive simulation
Simulate this case study
Watch the partition come up, each step run, and usage build as it goes. Simulated: volumes, timings and prices are illustrative.
Partition
—
Status
not created
Elapsed
00:00
- Provisioning
- Processing
- Complete
01Documents are stored and indexed.
queued- Ahura Storestore.putqueued
status: queued · 0 / 48 objects stored
- Ahura Searchsearch.queryqueued
status: queued · 0 / 520 documents indexed
02Entities and links are recorded in a graph.
queued- Ahura Graphgraph.edge.putqueued
status: queued · 0 / 380 edges recorded
03Answers are drawn from search with sources.
queued- Ahura AIai.extractqueued
status: queued · 0 / 150 model calls
Services in this partition
Store
0 calls · 0.00 ACU
Search
0 calls · 0.00 ACU
Graph
0 calls · 0.00 ACU
AI
0 calls · 0.00 ACU
Spend by service
Event log
- Waiting to start.
Why Ahura OS
Why this is better on Ahura OS
Most knowledge bases are three products: storage, search and a model, glued together and drifting apart. Ahura OS puts documents, an index, a graph of how things relate and inference in one partition, so an answer comes with its sources and nothing needs syncing. Documents expire or are destroyed on policy rather than lingering in forgotten systems, which turns the knowledge base from a liability into an asset you control.
What each capability replaces
- Ahura StoreInstead of managing buckets, permissions and lifecycle rules, objects follow the partition: they freeze, thaw and expire with it.
- Ahura SearchInstead of running a search cluster, a managed, high-performance search engine indexes your content on write and queries it fast.
- Ahura GraphInstead of standing up and operating a graph database, relationships live beside your other state at the same price and isolation.
- Ahura AIInstead of a model gateway and several vendor contracts, one priced call reaches several models and chooses a cheap one when it can.
And on every use case
One endpoint, not a stack
Memory, storage, compute, inference, identity and messaging share one connection, one identity and one bill. The integration work you would normally own disappears.
Isolation by construction
Every agent’s world is a partition. Separation is how the platform is built, not a convention teams must remember to follow.
Cost follows use
Pay per call and per millisecond. Idle agents freeze to archive pricing. There is no capacity to reserve and nothing running unseen.
Retention and deletion built in
Lifetimes, expiry, freezing and destruction are platform features, so your data policy is enforced rather than aspirational.
Safe autonomy
Spending limits, protected signing keys, approval steps and signed actions let agents work unattended without being unaccountable.
Ready for audit
Designed against SOC 2 and ISO 27001 controls, with every call metered, recorded and attributable.
Compared
The old way of doing things
A wiki that goes stale, an enterprise search licence, and answers that depend on who you ask.
Data retention is built in
Everything this scenario stores lives in one isolated partition with a lifetime you set. Expired data deletes itself, a paused project freezes to low-cost archive, and a finished one can be destroyed completely. Security and compliance