Browsing: Parsing

In this tutorial, we build a complete workflow for running Baidu’s Unlimited-OCR model on document images and multi-page PDFs. We configure the GPU environment, install the…

do not look bad until the answer comes out (classic OCR is the textbook case: EasyOCR recovers the words and quietly drops the table structure around…

A user asks the pipeline: “what is the premium?” on a fifty-page insurance policy. The parser looks at the doc profile it just got from the…

and expensive. The fast parser misses the table the answer lives in. Run the heavy one on every page of a 200-page report and you pay…

talk about context engineering today, they usually mean retrieving the right context from a document: chunk selection, hybrid search, reranking, TOC-aware retrieval. That is one half…

def tool_shot_planner(instruction, captions): “””Global-aware storyboard sub-queries from instruction + caption bank.””” bank = “; “.join(sorted({c[“caption”] for c in captions})) if llm.available(): sys_p = (“You are VideoAgent’s…

III of Enterprise Document Intelligence, a series that builds an enterprise RAG system from four bricks: document parsing, question parsing, retrieval, and generation. It is the…

companion to Enterprise Document Intelligence, the series whose philosophy is laid out in Amplify the Expert. It zooms in on brick 2 (question parsing) of the…

rprint(Panel.fit(“[bold]Baseline 1: Predict output_type from context using pure Python Naive Bayes[/bold]”)) model_artifacts = {} classifier_df = df.dropna(subset=[“output_type”]).copy() classifier_df = classifier_df[ classifier_df[“output_type”].astype(str).str.len() > 0 ].copy() if classifier_df[“output_type”].nunique()…

banner(“STEP 3 — Building the analysis DataFrame”) def process_example(ex): traj = normalize_trajectory(ex.get(“trajectory”)) rc = role_counts(traj) nf, add, dele, _files, _exts = parse_patch(ex.get(“model_patch”)) meta = normalize_metadata(ex.get(“metadata”)) full_text…