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It is an edge case in textractor's legacy parser (introduced in 1.8.4): when a page is blank/empty, the PAGE block has no child blocks, and Textract strips the Relationships key entirely instead of sending an empty list. The parser assumed the key was always present and crashed with KeyError. The maintainer fixed …
Problem outcome: unknown
The Textract async API (which is what multi-page PDFs need) only accepts documents stored as S3 objects — local files are rejected with exactly that exception. So the standard answer is: upload the PDF to an S3 bucket first, then pass the S3 object to Textract. If you want to avoid S3, read the file into memory and pa…
Problem outcome: unknown
Running python3 textractor.py --documents document-name.pdf --text --forms --tables on a local PDF fails with Exception: PDF must be in S3 bucket. Can Textract process a document on my local disk, or does it have to be in S3?
Problem outcome: unknown
This is a peer dependency conflict in the sample's package set, not a broken install on your side. First run npm install from the bedrock-agent-cdk root directory before cdk bootstrap. If npm install fails with ERESOLVE (aws-cdk-lib@2.87.0 vs @aws-cdk/aws-lambda-python-alpha@2.108.0-alpha.0 wanting aws-cdk-lib ^2.108.…
Problem outcome: unknown
This was a real bug in textractor's expense parser. Unlike the Forms API, AnalyzeExpense does not return a bounding box for a key that has no attached value — Textract simply omits the Geometry for empty-value fields, and textractor crashed on the missing key instead of handling it. The maintainer (Belval) reproduced …
Problem outcome: unknown
I call textract.start_expense_analysis on a multi-page invoice PDF stored in S3. When I access document.expense_documents, I get KeyError: 'Geometry'. Debugging the textractor package, I found the Geometry part is missing for an ExpenseField whose value is empty (like the PO Number in the screenshot — the key …
Problem outcome: unknown
Set the dtype explicitly to torch.float16 when loading the PEFT adapter: AutoPeftModelForCausalLM.from_pretrained(training_args.output_dir, low_cpu_mem_usage=True, torch_dtype=torch.float16). The sample passed the wrong dtype when loading the adapter; setting torch.float16 fixed it. A maintainer confirmed the sample w…
Problem outcome: unknown
A user running the Llama 3 8B custom model import sample (llama3-sftt-llama3-fine-tuning.ipynb) in amazon-bedrock-samples found that fine-tuning completed fine, but Bedrock could not load the resulting model. Root cause was in the sample: when loading the PEFT adapter with AutoPeftModelForCausalLM.from_pretrained(...,…
Problem outcome: unknown
Recreate the OpenSearch Serverless vector index with "engine": "faiss" instead of "nmslib" in the storage configuration, then retry the CreateKnowledgeBase call. FAISS is the only accepted engine type now. The amazon-bedrock-samples repo was fixed the same way. Source:
Problem outcome: unknown
A user creating an Amazon Bedrock Knowledge Base backed by an OpenSearch Serverless vector index got a ValidationException on CreateKnowledgeBase. The full error: The OpenSearch Serverless engine type associated with your vector index is invalid. Recreate your vector index with one of the following valid engine types:…
Problem outcome: unknown
My textractor pipeline crashes with KeyError: 'Relationships' in the response parser on a specific document. The stack trace points at response_parser.parse(paginated_response). I cannot share the document for privacy reasons. What causes this?
Problem outcome: unknown
A user following the bedrock-agent-cdk example in amazon-bedrock-samples hit a wall running cdk bootstrap. TypeScript refused to compile: error TS2307 Cannot find module 'path' (plus 'glob' and 'aws-cdk-lib'). They had already run npm install in the sample root, but it died with an ERESOLVE peer dependency conflict: @…
Problem outcome: unknown