My team is building an internal chatbot on AWS Bedrock; how do I troubleshoot token truncation errors when passing massive PDF documents?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
My team is building an internal chatbot on AWS Bedrock; how do I troubleshoot token truncation errors when passing massive PDF documents?
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.
Classifying 2 queries…
Searches and sources
ChatGPT2 real searches · gpt-6
AWS Bedrock documentation Converse API token limits stopReason maxTokens PDF document input limits Google ↗
AWS Bedrock Knowledge Bases chunking strategies PDF ingestion parsing limits documentation Google ↗
- How content chunking works for knowledge bases · docs.aws.amazon.com
- Customize ingestion for a data source · docs.aws.amazon.com
- Parsing options for your data source · docs.aws.amazon.com
- Improve search results and accurate in Amazon Bedrock · repost.aws
- Inference using Converse API · docs.aws.amazon.com
- converse · docs.aws.amazon.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
AWS Bedrock documentation Converse API token limits stopReason maxTokens PDF document input limits OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
AWS Bedrock Knowledge Bases chunking strategies PDF ingestion parsing limits documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |