Real ChatGPT answer · index seedyklhDnojQNEcompleteB2B software · data and analytics platformscommercial
Is it cheaper to store our unstructured AI training data in a vector database or query it directly using Apache Iceberg format
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Is it cheaper to store our unstructured AI training data in a vector database or query it directly using Apache Iceberg format
3 real searches · 1 real-search pass
Apache Iceberg object storage data lake cost vector database embeddings storage cost comparison architectureGoogle ↗
OBSERVEDComparison
Apache Iceberg documentation table format object storage Parquet metadata query engines unstructured dataGoogle ↗
OBSERVEDOther / navigational
vector database pricing storage costs managed vector database indexing replicas embeddings storage overheadGoogle ↗
OBSERVEDReason
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 (3)
Classes come from the query-classifier (a local Laya model). 2 of 3 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT3 real searches · gpt-6
Apache Iceberg object storage data lake cost vector database embeddings storage cost comparison architecture Google ↗
Apache Iceberg documentation table format object storage Parquet metadata query engines unstructured data Google ↗
vector database pricing storage costs managed vector database indexing replicas embeddings storage overhead Google ↗
- Spec · iceberg.apache.org
- Documentation · apache.googlesource.com
- Storage considerations for vector indexes · docs.aws.amazon.com
- Elasticsearch Vector Database billing dimensions · elastic.co
- S3 Pricing · aws.amazon.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Apache Iceberg object storage data lake cost vector database embeddings storage cost comparison architecture OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 | |
Apache Iceberg documentation table format object storage Parquet metadata query engines unstructured data OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
vector database pricing storage costs managed vector database indexing replicas embeddings storage overhead OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |