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[PR #3969] Add CVFileLoader integration page #3977

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opened 2026-06-05 18:53:47 -04:00 by yindo · 0 comments
yindo commented 2026-06-05 18:53:47 -04:00
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📋 Pull Request Information

Original PR: https://github.com/langchain-ai/docs/pull/3969
Author: @ilanoh
Created: 5/12/2026
Status: 🔄 Open

Base: main ← Head: cvfile-loader

📝 Commits (1)

  • 604284a Add CVFileLoader integration page

📊 Changes

1 file changed (+117 additions, -0 deletions)

View changed files

➕ src/oss/python/integrations/document_loaders/cvfile.mdx (+117 -0)

📄 Description

This PR adds a document loader integration page for langchain-cvfile, which loads .cv files (an open file format for resumes/CVs: PDF/A-3u with embedded Markdown/HTML/JSON payloads carried as PDF Associated Files).

Why

A .cv file is a PDF/A-3u that ships a Markdown copy of the same content (plus optional HTML and JSON Resume) as PDF Associated Files (ISO 32000-2 §14.13). For RAG/ATS use cases, the embedded Markdown is a much cleaner text representation than OCRing the visual PDF layer. This loader pulls those embedded payloads directly and returns one Document per textual payload, with the payload declared as cv:primaryPayload in the file's XMP metadata flagged metadata["primary"] = True.

What this PR contains

A single new MDX page at src/oss/python/integrations/document_loaders/cvfile.mdx, following the existing PyPDFLoader / similar loader template (frontmatter, integration details table, loader features table, setup, initialization, load + lazy_load examples, metadata reference, API reference link).

Package details

Code sample is runnable

The example in the page works against any .cv file produced by the reference SDK. Sample output in the page was generated against an actual fixture; running loader.load() returns three Documents for a typical resume (resume.md primary, resume.html alternate, resume.json alternate).

🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.

## 📋 Pull Request Information **Original PR:** https://github.com/langchain-ai/docs/pull/3969 **Author:** [@ilanoh](https://github.com/ilanoh) **Created:** 5/12/2026 **Status:** 🔄 Open **Base:** `main` ← **Head:** `cvfile-loader` --- ### 📝 Commits (1) - [`604284a`](https://github.com/langchain-ai/docs/commit/604284a07c107b44f1074291067d2071eefcdba3) Add CVFileLoader integration page ### 📊 Changes **1 file changed** (+117 additions, -0 deletions) <details> <summary>View changed files</summary> ➕ `src/oss/python/integrations/document_loaders/cvfile.mdx` (+117 -0) </details> ### 📄 Description This PR adds a document loader integration page for [`langchain-cvfile`](https://pypi.org/project/langchain-cvfile/), which loads `.cv` files (an open file format for resumes/CVs: PDF/A-3u with embedded Markdown/HTML/JSON payloads carried as PDF Associated Files). ## Why A `.cv` file is a PDF/A-3u that ships a Markdown copy of the same content (plus optional HTML and JSON Resume) as PDF Associated Files (ISO 32000-2 §14.13). For RAG/ATS use cases, the embedded Markdown is a much cleaner text representation than OCRing the visual PDF layer. This loader pulls those embedded payloads directly and returns one `Document` per textual payload, with the payload declared as `cv:primaryPayload` in the file's XMP metadata flagged `metadata["primary"] = True`. ## What this PR contains A single new MDX page at `src/oss/python/integrations/document_loaders/cvfile.mdx`, following the existing PyPDFLoader / similar loader template (frontmatter, integration details table, loader features table, setup, initialization, load + lazy_load examples, metadata reference, API reference link). ## Package details - **PyPI:** https://pypi.org/project/langchain-cvfile/ (v0.1.0 live, Apache-2.0) - **Source:** https://github.com/cvfile/cv/tree/main/integrations/langchain-cvfile - **Spec:** https://cvfile.org/spec/ - **Dependencies:** `cvfile>=0.1.0,<1`, `langchain-core>=0.3,<1` ## Code sample is runnable The example in the page works against any `.cv` file produced by the reference SDK. Sample output in the page was generated against an actual fixture; running `loader.load()` returns three Documents for a typical resume (resume.md primary, resume.html alternate, resume.json alternate). --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
yindo added the pull-request label 2026-06-05 18:53:47 -04:00
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Reference: langchain-ai/docs#3977
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