Feat: TrustGraph i18n & Documentation Translation Updates (#781)

Native CLI i18n: The TrustGraph CLI has built-in translation support
that dynamically loads language strings. You can test and use
different languages by simply passing the --lang flag (e.g., --lang
es for Spanish, --lang ru for Russian) or by configuring your
environment's LANG variable.

Automated Docs Translations: This PR introduces autonomously
translated Markdown documentation into several target languages,
including Spanish, Swahili, Portuguese, Turkish, Hindi, Hebrew,
Arabic, Simplified Chinese, and Russian.

docs/tech-specs/document-embeddings-chunk-id.pt.md

@@ -0,0 +1,144 @@
+---
+layout: default
+title: "Incorporações de Documentos - ID do Trecho"
+parent: "Portuguese (Beta)"
+---
+
+# Incorporações de Documentos - ID do Trecho
+
+> **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.
+
+## Visão Geral
+
+Atualmente, o armazenamento de incorporações de documentos armazena o texto do trecho diretamente no payload do armazenamento vetorial, duplicando dados que já existem no Garage. Esta especificação substitui o armazenamento do texto do trecho por referências `chunk_id`.
+
+## Estado Atual
+
+```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)
+```
+
+Payload do armazenamento vetorial:
+```python
+payload={"doc": chunk}  # Duplicates Garage content
+```
+
+## Design
+
+### Schema Changes
+
+**ChunkEmbeddings** - substituir "chunk" por "chunk_id":
+```python
+@dataclass
+class ChunkEmbeddings:
+    chunk_id: str = ""
+    vectors: list[list[float]] = field(default_factory=list)
+```
+
+**DocumentEmbeddingsResponse** - retornar chunk_ids em vez de chunks:
+```python
+@dataclass
+class DocumentEmbeddingsResponse:
+    error: Error | None = None
+    chunk_ids: list[str] = field(default_factory=list)
+```
+
+### Carga Útil do Armazenamento Vetorial
+
+Todos os armazenamentos (Qdrant, Milvus, Pinecone):
+```python
+payload={"chunk_id": chunk_id}
+```
+
+### Alterações no Processador de Documentos RAG
+
+O processador de documentos RAG busca o conteúdo dos fragmentos do Garage:
+
+```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)
+```
+
+### Alterações na API/SDK
+
+**DocumentEmbeddingsClient** retorna chunk_ids:
+```python
+return resp.chunk_ids  # Changed from resp.chunks
+```
+
+**Formato de dados** (DocumentEmbeddingsResponseTranslator):
+```python
+result["chunk_ids"] = obj.chunk_ids  # Changed from chunks
+```
+
+### Alterações na CLI
+
+A ferramenta CLI exibe os chunk_ids (os chamadores podem buscar o conteúdo separadamente, se necessário).
+
+## Arquivos a serem modificados
+
+### Schema
+`trustgraph-base/trustgraph/schema/knowledge/embeddings.py` - ChunkEmbeddings
+`trustgraph-base/trustgraph/schema/services/query.py` - DocumentEmbeddingsResponse
+
+### Mensagens/Tradutores
+`trustgraph-base/trustgraph/messaging/translators/embeddings_query.py` - DocumentEmbeddingsResponseTranslator
+
+### Cliente
+`trustgraph-base/trustgraph/base/document_embeddings_client.py` - retornar chunk_ids
+
+### SDK/API Python
+`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` - se aplicável
+`trustgraph-base/trustgraph/api/bulk_client.py` - importar/exportar embeddings de documentos
+`trustgraph-base/trustgraph/api/async_bulk_client.py` - importar/exportar embeddings de documentos
+
+### Serviço de Embeddings
+`trustgraph-flow/trustgraph/embeddings/document_embeddings/embeddings.py` - passar chunk_id
+
+### Escritores de Armazenamento
+`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`
+
+### Serviços de Consulta
+`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`
+
+### Gateway
+`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`
+
+### Document RAG
+`trustgraph-flow/trustgraph/retrieval/document_rag/rag.py` - adicionar cliente librarian
+`trustgraph-flow/trustgraph/retrieval/document_rag/document_rag.py` - buscar do Garage
+
+### 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`
+
+## Benefícios
+
+1. Única fonte de verdade - texto do chunk apenas no Garage
+2. Redução do armazenamento do vetor
+3. Permite a rastreabilidade em tempo de consulta via chunk_id