A developer using LlamaIndex reports that embedding models such as BAAI/bge-small-en-v1.5 fail on scientific papers containing special characters, throwing a TypeError: TextEncodeInput must be Union[T…
A developer building RAG over scientific papers found that PDF parsers tuned for business documents often fail silently on equations and tables, producing plausible but incorrect outputs. After testin…
A developer built DeepDoc, a Rust-based document parser for air-gapped RAG pipelines, as a single-binary alternative to Apache Tika, Python stacks, and cloud parsers. DeepDoc transforms documents into…
A developer built DeepDoc, a single static Rust binary that parses docx, pptx, xlsx, and other born-digital formats into clean Markdown without any runtime dependencies, cloud uploads, or non-determin…
A RAG pipeline using LlamaIndex and the BGE-small-en-v1.5 embedding model crashes with a 'TextEncodeInput must be Union[TextInputSequence, Tuple[InputSequence, InputSequence]]' error when processing s…
A developer benchmarked the real cost of processing 1,000 invoices per month across five document-AI APIs, revealing hidden minimums and per-attempt billing that inflate effective rates. AWS Textract,…
A developer argues that most RAG applications fail because they still parse PDFs as plain text instead of preserving document layout. The recommended approach is to use tools that output structured Ma…
A developer argues that while AI excels at reading data from documents, the write step—filling forms—should be deterministic, not probabilistic, for compliance-critical documents. They advocate for a …
Unsiloed AI's document parser v3.1 achieved the top rank on the olmOCR-Bench benchmark with an 88.0% strict pass rate, outperforming 18 other OCR services including GPT-5.5, Claude Opus 4.7, LlamaPars…