What are the hidden costs associated with managing product catalogs at scale on Adobe Commerce when utilizing Elasticsearch clusters?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the hidden costs associated with managing product catalogs at scale on Adobe Commerce when utilizing Elasticsearch clusters?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
Adobe Commerce catalog search Elasticsearch OpenSearch indexing product attributes store views index size reindex documentation Google ↗
Adobe Commerce Elasticsearch cluster sizing shard replicas heap memory operational costs catalog scale Google ↗
- Index management · experienceleague.adobe.com
- Search engine configuration · experienceleague.adobe.com
- Indexing · experienceleague.adobe.com
- Catalog > Catalog · experienceleague.adobe.com
- Set up OpenSearch service · experienceleague.adobe.com
- Set up Elasticsearch service · experienceleague.adobe.com
- The Elasticsearch tab · experienceleague.adobe.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Adobe Commerce catalog search Elasticsearch OpenSearch indexing product attributes store views index size reindex documentation OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Adobe Commerce Elasticsearch cluster sizing shard replicas heap memory operational costs catalog scale OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |