Files
crewAI/docs/edge/ar/tools/file-document/directorysearchtool.mdx
Lucas Gomide a237ebabba feat: adopt directory-based docs versioning with Edge channel (#6202)
* feat: adopt directory-based docs versioning with Edge channel

Switch docs.crewai.com from navigation-only versioning (every version
selector entry rendered the same docs/<lang>/* source files) to
Mintlify's directory-based versioning so each version selector entry
renders its own snapshot. Add an "Edge" channel under docs/edge/<lang>/*
that always reflects main HEAD for unreleased work, eliminating
pre-release leakage onto frozen release labels. External links to
canonical /<lang>/* URLs are preserved via wildcard redirects that
always land on the current default version.

Layout:
- docs/edge/<lang>/*         rolling source (you edit here)
- docs/edge/enterprise-api.*.yaml
- docs/v<X.Y.Z>/<lang>/*     frozen, immutable snapshots
- docs/v<X.Y.Z>/enterprise-api.*.yaml
- docs/images/               shared, append-only
- docs/docs.json             nav + redirects

URLs follow the Mintlify-idiomatic shape: /edge/<lang>/<page> for
Edge, /v<X.Y.Z>/<lang>/<page> for every frozen snapshot. The wildcard
redirects /<lang>/:slug* -> /<default>/<lang>/:slug* keep stale links
working, and every freeze rewrites them (plus all per-section/per-page
redirects) so destinations always resolve to the current default
without depending on a second redirect hop.

Release flow integration (devtools release):
- New module crewai_devtools.docs_versioning.freeze() materialises
  docs/v<X.Y.Z>/ from docs/edge/, rewrites openapi: refs inside the
  snapshot, inserts the version into every language block in
  docs.json, and refreshes all redirect destinations.
- _update_docs_and_create_pr() in cli.py now calls that freeze during
  Phase 2 of devtools release. Edge changelogs are updated first (so
  the snapshot freeze picks them up), then the snapshot is staged
  alongside docs.json, branched as docs/freeze-v<X.Y.Z>, and the PR
  is titled [docs-freeze] docs: snapshot and changelog for v<X.Y.Z>
  — the title prefix the new CI guard reads.
- The PR still gates tag, GitHub release, PyPI publish, and the
  enterprise release as before; no new PRs are added.
- Pre-releases (1.X.YaN, 1.X.YbN, ...) skip the snapshot — they ride
  Edge — and the docs PR title omits the [docs-freeze] prefix.
- docs_check (AI-generated docs scaffolding) writes to
  docs/edge/<lang>/* so newly-generated unreleased docs land in Edge
  and never accidentally touch a frozen snapshot.

Migration scripts (one-shot):
- scripts/docs/freeze_historical_versions.py reconstructs all 16
  historical snapshots (v1.10.0 .. v1.14.7) from git tags via
  git archive | tar, rewriting openapi: MDX refs so each snapshot
  reads its own enterprise-api YAML rather than the live one.
- scripts/docs/prefix_version_paths.py one-shot-migrates docs.json:
  rewrites every page path in 16 versioned blocks to point under
  docs/v<X.Y.Z>/, inserts a new Edge entry per language, tags
  v1.14.7 as Latest (default), prunes pages whose target file
  doesn't exist in the snapshot (e.g. docs/ar/ didn't exist before
  v1.12.0), and writes the wildcard + per-section redirects.
- scripts/docs/freeze_current_edge.py is now a thin CLI wrapper
  around docs_versioning.freeze for manual one-off freezes (e.g.
  retroactively snapshotting a forgotten release).

CI guards (.github/workflows/docs-snapshots.yml):
- Frozen snapshots under docs/v[0-9]*/ are immutable; only PRs whose
  title contains [docs-freeze] (i.e. release-cut PRs generated by
  devtools release or the manual wrapper) may modify them.
- Images under docs/images/ are append-only since snapshots share a
  single image directory. Deleting or renaming an image breaks every
  historical snapshot that still references it.

Restored docs/images/crewai-otel-export.png from PR #3673; it was
deleted in PR #4908 but v1.10.0 / v1.10.1 snapshots still reference
it. Restoring instead of editing the snapshots preserves historical
rendering fidelity and validates the new append-only rule
retroactively.

Tests:
- lib/devtools/tests/test_docs_versioning.py covers the freeze: file
  copy, openapi rewrite, version insertion, default demotion, redirect
  upserts, per-section redirect rewriting, idempotency, and invalid
  inputs.

Verified locally with mintlify broken-links: 0 broken links across
the full site (Edge + 16 frozen versions, 4 locales).

AGENTS.md (repo root) is the contributor guide for the new model;
RELEASING.md is the release-cut runbook; README's Contribution
section links to both.

Co-authored-by: Cursor <cursoragent@cursor.com>

* style: resolve linter issues

---------

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-17 11:56:59 -04:00

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---
title: بحث RAG في المجلدات
description: أداة `DirectorySearchTool` هي أداة RAG (الاسترجاع المعزز بالتوليد) قوية مصممة لعمليات البحث الدلالي داخل محتوى المجلد.
icon: address-book
mode: "wide"
---
# `DirectorySearchTool`
<Note>
**تجريبية**: أداة DirectorySearchTool قيد التطوير المستمر. قد تُضاف ميزات أو تُزال، وقد يتغير الأداء بشكل غير متوقع أثناء تحسين الأداة.
</Note>
## الوصف
تتيح DirectorySearchTool البحث الدلالي داخل محتوى المجلدات المحددة، مستفيدة من منهجية الاسترجاع المعزز بالتوليد (RAG) للتنقل الفعال بين الملفات. صُممت لتكون مرنة، حيث تسمح للمستخدمين بتحديد مجلدات البحث ديناميكياً أثناء التشغيل أو تعيين مجلد ثابت أثناء الإعداد الأولي.
## التثبيت
لاستخدام DirectorySearchTool، ابدأ بتثبيت حزمة crewai_tools. نفّذ الأمر التالي في الطرفية:
```shell
pip install 'crewai[tools]'
```
## التهيئة والاستخدام
قم باستيراد DirectorySearchTool من حزمة `crewai_tools` للبدء. يمكنك تهيئة الأداة بدون تحديد مجلد، مما يتيح تعيين مجلد البحث أثناء التشغيل. بدلاً من ذلك، يمكن تهيئة الأداة بمجلد محدد مسبقاً.
```python Code
from crewai_tools import DirectorySearchTool
# For dynamic directory specification at runtime
tool = DirectorySearchTool()
# For fixed directory searches
tool = DirectorySearchTool(directory='/path/to/directory')
```
## المعاملات
- `directory`: معامل نصي يحدد مجلد البحث. هذا اختياري أثناء التهيئة لكنه مطلوب لعمليات البحث إذا لم يتم تعيينه مبدئياً.
## النموذج والتضمينات المخصصة
تستخدم DirectorySearchTool افتراضياً OpenAI للتضمينات والتلخيص. تتضمن خيارات التخصيص لهذه الإعدادات تغيير مزود النموذج والتكوين، مما يعزز المرونة للمستخدمين المتقدمين.
```python Code
from chromadb.config import Settings
tool = DirectorySearchTool(
config={
"embedding_model": {
"provider": "openai",
"config": {
"model": "text-embedding-3-small",
# "api_key": "sk-...",
},
},
"vectordb": {
"provider": "chromadb", # or "qdrant"
"config": {
# "settings": Settings(persist_directory="/content/chroma", allow_reset=True, is_persistent=True),
# from qdrant_client.models import VectorParams, Distance
# "vectors_config": VectorParams(size=384, distance=Distance.COSINE),
}
},
}
)
```
## الأمان
### التحقق من صحة المسارات
يتم التحقق من مسارات المجلدات المقدمة لهذه الأداة مقابل مجلد العمل الحالي. يتم رفض المسارات التي تحل خارج مجلد العمل وإطلاق `ValueError`.
للسماح بالمسارات خارج مجلد العمل (مثلاً في الاختبارات أو خطوط الأنابيب الموثوقة)، عيّن متغير البيئة التالي:
```shell
CREWAI_TOOLS_ALLOW_UNSAFE_PATHS=true
```