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Zotero RAG 是一款基于 Python 开发的开源工具,专注于 zotero、zotero-plugin、python 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
Zotero RAG 是一款基于 Python 开发的开源工具,专注于 zotero、zotero-plugin、python 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
# 方式一:pip 安装(推荐)
pip install zotero-rag
# 方式二:虚拟环境安装(推荐生产环境)
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install zotero-rag
# 方式三:从源码安装(获取最新功能)
git clone https://github.com/cboulanger/zotero-rag
cd zotero-rag
pip install -e .
# 验证安装
python -c "import zotero_rag; print('安装成功')"
# 命令行使用
zotero-rag --help
# 基本用法
zotero-rag input_file -o output_file
# Python 代码中调用
import zotero_rag
# 示例
result = zotero_rag.process("input")
print(result)
# zotero-rag 配置文件示例(config.yml) app: name: "zotero-rag" debug: false log_level: "INFO" # 运行时指定配置文件 zotero-rag --config config.yml # 或通过环境变量配置 export ZOTERO_RAG_API_KEY="your-key" export ZOTERO_RAG_OUTPUT_DIR="./output"
uv if you don't have it already.uv syncFor presets that run embedding models locally (apple-silicon-32gb, high-memory, cpu-only) you also need:
uv sync --extra local-models
Remote presets (remote-kisski, remote-openai, etc.) do not require these packages — see docs/presets.md for the full comparison.
MODEL_PRESET=remote-openai # requires OPENAI_API_KEY
MODEL_PRESET=apple-silicon-32gb # Apple Silicon Mac, 32 GB RAM MODEL_PRESET=cpu-only # CPU only / low memory, will have bad performance ```
See docs/presets.md for all presets and a dependency overview.
node bin/container.mjs start --data-dir ./data
node bin/deploy.mjs .env.deploy.example ```
See docs/container-deployment.md for full Docker setup, including remote server deployment with nginx and SSL.
zotero-rag-X.Y.Z.xpi file from <https://github.com/cboulanger/zotero-rag/releases/latest>.xpi fileCopy .env.dist to .env and set MODEL_PRESET:
```bash
If the backend runs on a remote host, open Zotero → Settings → Zotero RAG and set:
https://rag.example.com)This plugin implements a RAG (Retrieval-Augmented-Generation) System for Zotero which allows to ask questions on the literature in a library and get a response with links to the sources.
Beta: The API and feature set are still evolving. Breaking changes may occur between releases.
<img src="./docs/images/dialog.png" width="300" alt="Screenshot of the RAG dialog">
Once installed:
The plugin uses AI to understand your questions and retrieve relevant information from your Zotero library, making it easy to find insights across multiple papers.
The backend automatically routes your question to the most appropriate search strategy before answering:
Routing is transparent and requires no extra configuration. To bypass routing and use pure RAG (faster, no routing LLM call), include "enable_routing": false in the API request body. See Query Routing Architecture for details.
<img src="./docs/images/note.png" width="300" alt="Screenshot of a result note">
The plugin automatically creates a RAG Results saved search in your library the first time a result note or indexing report is generated. This search collects all notes whose tag starts with RAG followed by a space (query results tagged RAG Query Result, indexing reports tagged RAG Indexing Report) in one place for quick retrieval.
The backend can optionally expose a browser-accessible query UI at /public/ that lets anyone query a publicly readable Zotero library without the Zotero plugin or an API key.
**1. Make sure the Zotero library is set to Public in your Zotero.org account settings.**
2. Create a config file (use public-libraries.example.json as a template):
{
"users/1234567": {
"title": "My Research Library",
"description": "Papers on computational linguistics.",
"placeholder": "e.g. What methods are used for cross-lingual transfer?"
},
"groups/9876543": {
"title": "DH Working Group",
"description": "Digital humanities reading list."
}
}
Keys are Zotero.org library slugs (users/{userId} or groups/{groupId}). The optional placeholder field customises the hint text in the question input; title and description are shown on the query page.
3. Point the server at the file by adding this line to your .env:
PUBLIC_LIBRARIES_CONFIG=/path/to/public-libraries.json
4. (Re)start the server. The UI is then available at:
| URL | Page |
|---|---|
/public/ | Index listing all configured libraries |
/public/users/{id} | Query form + results for a user library |
/public/groups/{id} | Query form + results for a group library |
Results include inline citations linked to the corresponding item on www.zotero.org, with author/year labels fetched from the Zotero web API. Libraries that are not listed in the config file return 403 Forbidden.
Note: The public UI only works for libraries that have already been indexed in this running backend instance via the Zotero plugin. It does not provide access to arbitrary public Zotero libraries — the library must first be indexed locally before queries can be answered.
<img src="./docs/images/fix-attachments-tool.png" width="300" alt="Screenshot of the fix attachment tool">
If Zotero sync is incomplete, some attachment files may be missing locally even though the metadata exists. The plugin detects this and shows a warning badge (e.g. ⚠ 3) in the Zotero toolbar, or a message "x unavailable" in the list of libraries after indexing. Click on the badge or on that message to open the Fix Unavailable Attachments dialog, which lists all affected items in the current library.
For each missing file the tool tries the following strategies in order:
storageHash).owl:sameAs relations — follows cross-library item relations to find the same file elsewhere.When a file is found it is copied into the correct Zotero storage directory. Items that cannot be recovered can be deleted permanently from the dialog using the Delete Selected button.
The script scripts/openalex_import.py bulk-imports all open-access articles of a journal (identified by ISSN) from OpenAlex into a Zotero group library, including PDF attachments.
Step 1 — fetch article metadata into a local CSV:
uv run python scripts/openalex_import.py fetch --issn 2050-084X --email you@example.com
This writes .local/openalex_2050_084X.csv with one row per OA article that has a PDF URL. If interrupted, re-running resumes from where it left off.
Step 2 — import into Zotero:
uv run python scripts/openalex_import.py import \
--issn 2050-084X \
--group-id 12345 \
--api-key YOUR_ZOTERO_API_KEY
This reads the CSV, creates a journalArticle item in the Zotero group library for each pending row (fetching full metadata from OpenAlex), and uploads the PDF as a child attachment. Already-imported rows are skipped, making the command safe to re-run after interruption.
Requirements:
OPENALEX_EMAIL / --email — recommended for the OpenAlex polite pool (higher rate limits; no sign-up needed)ZOTERO_API_KEY / --api-key — required for the import command; must have read+write access to the group library. Create one at <https://www.zotero.org/settings/keys>.Both env vars can be set in .env (see .env.dist for the template entries). Only group libraries are supported.
高效的研究辅助工具,值得推荐
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建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
经综合评估,Zotero RAG 在AI工具赛道中表现稳健,质量优秀。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。
| 原始名称 | zotero-rag |
| 原始描述 | 开源AI工具:This Zotero plugin implements a RAG (Retrieval-Augmented-Generation) System whic。⭐4 · Python |
| Topics | zoterozotero-pluginpythonrag |
| GitHub | https://github.com/cboulanger/zotero-rag |
| 语言 | Python |
收录时间:2026-06-17 · 更新时间:2026-06-17 · License:未公布 · AI Skill Hub 不对第三方内容的准确性作法律背书。