Plexara
Semantic Search and Enrichment
Before and After
What Cross-Enrichment Means Concretely
A single enriched response replaces multiple round trips. The agent receives complete business context without making additional tool calls.
Without Plexara
5+ sequential tool calls
With Plexara
1 enriched response
Four Directions
Bidirectional Across Every Service
Query results enriched with catalog metadata: column descriptions, owners, tags, glossary terms, lineage, quality scores, and deprecation warnings.
Catalog search results enriched with query engine availability: which datasets are queryable, their resolved table paths, and which Trino connections can reach them.
Storage objects enriched with catalog metadata: what the object contains, who owns it, its lineage within data pipelines, and any associated quality signals.
Catalog entities enriched with storage availability: which objects exist in S3, their sizes, last modified dates, and presigned URL access patterns.
Bounded
Enough Context, Not All of It
Automatic context is worth nothing if it buries the answer or makes every call wait on the slowest thing in the building. Enrichment is bounded on both axes, and the cost is measured rather than estimated.
Context runs on a budget
Enrichment gets a fixed byte allowance per response, not a blank check. Each recalled item is rendered summary-first, and anything past the allowance is listed as a compact stub the agent can open on demand. What was analyzed stays the bulk of the response, and supporting context stays supporting.
One slow source cannot stall a query
Search fans out across the catalog, memory, insights, pages, prompts, assets, endpoints, and connections at once, and each arm has its own deadline. A source that misses it drops out and is reported as having dropped out, rather than holding the whole answer while everything else waits.
The overhead is a number you can look at
The platform counts the bytes enrichment adds and the calls it adds them to, so the average context cost per answer is charted rather than assumed. It is the figure to watch when deciding whether the budget is set where you want it.
Efficiency
Fewer Calls, Better Context
1
Tool call instead of 5+
+15.4pts
Overall accuracy lift in our published benchmark
0
Redundant metadata fetches per session
Enrichment consolidates what would be multiple round trips into single responses. Session-aware deduplication tracks what context has already been provided and avoids repeating it within the same conversation.
The accuracy figure is measured, not estimated. Our published benchmark holds the model constant and ablates the platform: overall accuracy on the same tasks rose from 83.1% to 98.5% with the semantic layer in place.
Tool visibility filtering hides tools the user is not authorized for, further reducing the number of tool descriptions in the agent context window. Fewer tools means fewer tokens consumed by tool metadata on every request.
None of this is hardwired to specific products. Enrichment talks to the catalog, query engine, and object store through the provider interfaces described on the architecture page, so a backing service can be swapped without touching how enrichment works.