Structure the tech specs directory (#836)

Tech spec some subdirectories for different languages

docs/tech-specs/zh-cn/document-embeddings-chunk-id.zh-cn.md

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+---
+layout: default
+title: "文档嵌入块 ID"
+parent: "Chinese (Beta)"
+---
+
+# 文档嵌入块 ID
+
+> **Beta Translation:** This document was translated via Machine Learning and as such may not be 100% accurate. All non-English languages are currently classified as Beta.
+
+## 概述
+
+目前，文档嵌入存储将块文本直接存储在向量存储的负载中，这会重复 Garage 中已存在的数据。此规范将块文本存储替换为对 `chunk_id` 的引用。
+
+## 当前状态
+
+```python
+@dataclass
+class ChunkEmbeddings:
+    chunk: bytes = b""
+    vectors: list[list[float]] = field(default_factory=list)
+
+@dataclass
+class DocumentEmbeddingsResponse:
+    error: Error | None = None
+    chunks: list[str] = field(default_factory=list)
+```
+
+向量存储负载：
+```python
+payload={"doc": chunk}  # Duplicates Garage content
+```
+
+## 设计
+
+### 模式变更
+
+**ChunkEmbeddings** - 将 chunk 替换为 chunk_id:
+```python
+@dataclass
+class ChunkEmbeddings:
+    chunk_id: str = ""
+    vectors: list[list[float]] = field(default_factory=list)
+```
+
+**DocumentEmbeddingsResponse** - 返回 chunk_ids 而不是 chunks：
+```python
+@dataclass
+class DocumentEmbeddingsResponse:
+    error: Error | None = None
+    chunk_ids: list[str] = field(default_factory=list)
+```
+
+### 向量存储负载
+
+所有存储（Qdrant、Milvus、Pinecone）：
+```python
+payload={"chunk_id": chunk_id}
+```
+
+### 文档 RAG 变更
+
+文档 RAG 处理器从 Garage 中获取块内容：
+
+```python
+# Get chunk_ids from embeddings store
+chunk_ids = await self.rag.doc_embeddings_client.query(...)
+
+# Fetch chunk content from Garage
+docs = []
+for chunk_id in chunk_ids:
+    content = await self.rag.librarian_client.get_document_content(
+        chunk_id, self.user
+    )
+    docs.append(content)
+```
+
+### API/SDK 变更
+
+**DocumentEmbeddingsClient** 返回 chunk_ids:
+```python
+return resp.chunk_ids  # Changed from resp.chunks
+```
+
+**数据格式** (DocumentEmbeddingsResponseTranslator):
+```python
+result["chunk_ids"] = obj.chunk_ids  # Changed from chunks
+```
+
+### CLI 变更
+
+CLI 工具显示 chunk_ids（如果需要，调用者可以单独获取内容）。
+
+## 需要修改的文件
+
+### Schema
+`trustgraph-base/trustgraph/schema/knowledge/embeddings.py` - ChunkEmbeddings
+`trustgraph-base/trustgraph/schema/services/query.py` - DocumentEmbeddingsResponse
+
+### 消息/翻译器
+`trustgraph-base/trustgraph/messaging/translators/embeddings_query.py` - DocumentEmbeddingsResponseTranslator
+
+### 客户端
+`trustgraph-base/trustgraph/base/document_embeddings_client.py` - 返回 chunk_ids
+
+### Python SDK/API
+`trustgraph-base/trustgraph/api/flow.py` - document_embeddings_query
+`trustgraph-base/trustgraph/api/socket_client.py` - document_embeddings_query
+`trustgraph-base/trustgraph/api/async_flow.py` - 如果适用
+`trustgraph-base/trustgraph/api/bulk_client.py` - 导入/导出文档嵌入
+`trustgraph-base/trustgraph/api/async_bulk_client.py` - 导入/导出文档嵌入
+
+### 嵌入服务
+`trustgraph-flow/trustgraph/embeddings/document_embeddings/embeddings.py` - 传递 chunk_id
+
+### 存储写入器
+`trustgraph-flow/trustgraph/storage/doc_embeddings/qdrant/write.py`
+`trustgraph-flow/trustgraph/storage/doc_embeddings/milvus/write.py`
+`trustgraph-flow/trustgraph/storage/doc_embeddings/pinecone/write.py`
+
+### 查询服务
+`trustgraph-flow/trustgraph/query/doc_embeddings/qdrant/service.py`
+`trustgraph-flow/trustgraph/query/doc_embeddings/milvus/service.py`
+`trustgraph-flow/trustgraph/query/doc_embeddings/pinecone/service.py`
+
+### 网关
+`trustgraph-flow/trustgraph/gateway/dispatch/document_embeddings_query.py`
+`trustgraph-flow/trustgraph/gateway/dispatch/document_embeddings_export.py`
+`trustgraph-flow/trustgraph/gateway/dispatch/document_embeddings_import.py`
+
+### 文档 RAG
+`trustgraph-flow/trustgraph/retrieval/document_rag/rag.py` - 添加 librarian 客户端
+`trustgraph-flow/trustgraph/retrieval/document_rag/document_rag.py` - 从 Garage 获取
+
+### CLI
+`trustgraph-cli/trustgraph/cli/invoke_document_embeddings.py`
+`trustgraph-cli/trustgraph/cli/save_doc_embeds.py`
+`trustgraph-cli/trustgraph/cli/load_doc_embeds.py`
+
+## 优点
+
+1. 单一数据源 - 仅在 Garage 中存储文本块
+2. 减少向量存储空间
+3. 通过 chunk_id 实现查询时的数据溯源