Why are our OpenAI API costs so much higher than expected when using embeddings, and how do I optimize our chunk sizes to reduce token consumption immediately?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Why are our OpenAI API costs so much higher than expected when using embeddings, and how do I optimize our chunk sizes to reduce token consumption immediately?
3 real searches · 1 real-search pass
OpenAI API embeddings documentation token limits usage input tokens pricing text-embedding-3-small text-embedding-3-largeGoogle ↗
OBSERVEDOther / navigational
OpenAI API pricing embeddings per million tokens officialGoogle ↗
OBSERVEDComparison
OpenAI cookbook embedding long inputs chunking overlap best practicesGoogle ↗
OBSERVEDInstruction
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). 3 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
OpenAI API embeddings documentation token limits usage input tokens pricing text-embedding-3-small text-embedding-3-large Google ↗
OpenAI API pricing embeddings per million tokens official Google ↗
OpenAI cookbook embedding long inputs chunking overlap best practices Google ↗
- text-embedding-3-large Model · developers.openai.com
- text-embedding-3-small Model · developers.openai.com
- Create embeddings · developers.openai.com
- Create embeddings · developers.openai.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
OpenAI API embeddings documentation token limits usage input tokens pricing text-embedding-3-small text-embedding-3-large OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
OpenAI API pricing embeddings per million tokens official OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 | |
OpenAI cookbook embedding long inputs chunking overlap best practices OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 |