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جمع SkillsMP عدد ٢٦ من skills من xberg-io/xberg. افتح أي skill لمراجعة مصدره وتفاصيله.
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Cargo feature flags for crates/xberg — ORT-incompatible targets (WASM, Android x86_64 emulator), type-only and tract inference companion features, WASM/Android-safe variants, PDF backend, mutually-exclusive ORT variants, platform-conditional deps, aggregate…
لغة النص الأصلي: الإنجليزية
Use when extracting from many files at once with shared config, bounded parallelism, per-file overrides, and error recovery. Covers the `batch` command, `--file-configs`, `--max-concurrent`, and output layout.
لغة النص الأصلي: الإنجليزية
Use when splitting extracted text into chunks for LLM context windows or RAG ingestion. Covers chunk size, overlap, markdown/yaml/semantic chunkers, tokenizer-based sizing, and the standalone `chunk` command.
لغة النص الأصلي: الإنجليزية
Use when extracting keywords (YAKE/RAKE) from documents — and, secondarily, when detecting document language or generating embeddings for RAG and search. Covers the keyword config (and its feature gating), `--detect-language`, and the standalone `embed`…
لغة النص الأصلي: الإنجليزية
Use when extracting tabular data from PDFs, spreadsheets, or images. Covers layout-aware table detection, table model selection, output formats (markdown / JSON cells), and known limits.
لغة النص الأصلي: الإنجليزية
Use when extracting text from scanned PDFs, photographed pages, or images that have no embedded text layer. Covers OCR backends, language packs, force-OCR, and performance tuning.
لغة النص الأصلي: الإنجليزية
Use when choosing an output format for extracted documents — text, markdown, djot, html, or JSON. Maps consumer (LLM, parser, archive) to the right `--format` / `--content-format` pair.
لغة النص الأصلي: الإنجليزية
Extract text, tables, metadata, and images from 101 document formats (PDF, Office, images, HTML, email, archives, academic) using Xberg. Use when writing code that calls Xberg APIs in Python, Node.js/TypeScript, Rust, or CLI. Covers installation, extraction…
لغة النص الأصلي: الإنجليزية
WASM build constraints for the crates/xberg-wasm crate — the wasm-target feature set, no-tokio sync-only internal APIs, the mandatory SyncExtractor trait for WASM-compatible extractors, the 2 MB HTML size limit, size-optimized build config (opt-level="z"),…
لغة النص الأصلي: الإنجليزية
Extract text, tables, metadata, and images from 101 document formats (PDF, Office, images, HTML, email, archives, academic) using Xberg. Use when writing code that calls Xberg APIs in Python, Node.js/TypeScript, Rust, or CLI. Covers installation, extraction…
لغة النص الأصلي: الإنجليزية
MIME type detection and extractor routing in core/mime.rs and core/extractor/bytes.rs — the extension→EXT_TO_MIME→validate→registry→extractor flow, key detection functions, the 115 case-insensitive extension map, priority-based registry selection, wildcard…
لغة النص الأصلي: الإنجليزية
Use when splitting extracted text into chunks for LLM context windows or RAG ingestion. Covers chunk size, overlap, markdown/yaml/semantic chunkers, tokenizer-based sizing, and the standalone `chunk` command.
لغة النص الأصلي: الإنجليزية
Use when extracting from many files at once with shared config, bounded parallelism, per-file overrides, and error recovery. Covers the `batch` command, `--file-configs`, `--max-concurrent`, and output layout.
لغة النص الأصلي: الإنجليزية
Use when extracting keywords (YAKE/RAKE) from documents — and, secondarily, when detecting document language or generating embeddings for RAG and search. Covers the keyword config (and its feature gating), `--detect-language`, and the standalone `embed`…
لغة النص الأصلي: الإنجليزية
Use when extracting tabular data from PDFs, spreadsheets, or images. Covers layout-aware table detection, table model selection, output formats (markdown / JSON cells), and known limits.
لغة النص الأصلي: الإنجليزية
Use when extracting text from scanned PDFs, photographed pages, or images that have no embedded text layer. Covers OCR backends, language packs, force-OCR, and performance tuning.
لغة النص الأصلي: الإنجليزية
Use when choosing an output format for extracted documents — text, markdown, djot, html, or JSON. Maps consumer (LLM, parser, archive) to the right `--format` / `--content-format` pair.
لغة النص الأصلي: الإنجليزية
How xberg versions are synced and released — Cargo.toml is the single source of truth, `task version:sync` propagates it to alef-managed binding manifests AND the integrations under integrations/, which are versioned and published in lockstep with core…
لغة النص الأصلي: الإنجليزية
Alef-managed generated bindings in packages/* and binding crates — the regeneration workflow (task alef:generate / alef:format), Go DocumentExtractor→Extractor rename mapping, the git-diff freshness check, and the key alef.toml sections. Load before editing…
لغة النص الأصلي: الإنجليزية
How Xberg resolves configuration — CLI-mode and server/MCP-mode precedence orders, config file auto-discovery (xberg.{toml,yaml,json}), field-level inline JSON merge (merge_json_into_config), config file formats, and apply_extraction_overrides. Load when…
لغة النص الأصلي: الإنجليزية
The Xberg workspace layout — the version source of truth (root Cargo.toml [workspace.package] version), the crates/ workspace members (core lib, CLI, FFI, per-language binding crates, OCR crates), the out-of-workspace binding packages under packages/ (PyPI,…
لغة النص الأصلي: الإنجليزية
REST API server and MCP protocol integration
لغة النص الأصلي: الإنجليزية
Chunking, embeddings, and RAG pipeline integration
لغة النص الأصلي: الإنجليزية
Plugin architecture, registration, and trait patterns
لغة النص الأصلي: الإنجليزية
Document extraction pipeline architecture and patterns
لغة النص الأصلي: الإنجليزية
Format-specific document extraction workflows
لغة النص الأصلي: الإنجليزية