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/structured-data-schemas.sw.md

@@ -0,0 +1,130 @@
+---
+layout: default
+title: "Mfano wa Data, Mbadala ya Pulsar"
+parent: "Swahili (Beta)"
+---
+
+# Mfano wa Data, Mbadala ya Pulsar
+
+> **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.
+
+## Maelezo
+
+Kulingana na toleo la `STRUCTURED_DATA.md`, hati hii inatoa mabadiliko muhimu ya mfano wa Pulsar na mabadiliko, ili kupendeza uwezo wa data iliyoundwa katika TrustGraph.
+
+## Mabadiliko muhimu ya mfano
+
+### 1. Uboreshaji wa mfano
+#### Maelezo ya shamba
+Sasa, kwenye `Field` class katika `core/primitives.py`, lazima ipate mali zaidi:
+
+```python
+class Field(Record):
+    name = String()
+    type = String()  # int, string, long, bool, float, double, timestamp
+    size = Integer()
+    primary = Boolean()
+    description = String()
+    # MAELEZO MPYA:
+    required = Boolean()  # Mara kama shamba ni muhimu
+    enum_values = Array(String())  # Kwa miundo ya shamba
+    indexed = Boolean()  # Mara kama shamba linahitajika
+```
+
+### 2. Mfano mpya wa Maarifa
+
+#### 2.1 Utumaji Data Iliyoundwa
+Faili mpya: `knowledge/structured.py`
+
+```python
+from pulsar.schema import Record, String, Bytes, Map
+from ..core.metadata import Metadata
+
+class StructuredDataSubmission(Record):
+    metadata = Metadata()
+    format = String()  # "json", "csv", "xml"
+    schema_name = String()  # Mara kama mfano katika faili
+    data = Bytes()  # Data iliyoundwa
+    options = Map(String())  # Chaguzi maalum kwa format
+```
+
+### 3. Mfano mpya wa Huduma
+
+#### 3.1 Huduma ya NLP hadi Sarani ya Data
+Faili mpya: `services/nlp_query.py`
+
+```python
+from pulsar.schema import Record, String, Array, Map, Integer, Double
+from ..core.primitives import Error
+
+class NLPToStructuredQueryRequest(Record):
+    natural_language_query = String()
+    max_results = Integer()
+    context_hints = Map(String())  # Mara kama mawasiliano kwa utengenezaji wa sarani
+
+class NLPToStructuredQueryResponse(Record):
+    error = Error()
+    graphql_query = String()  # Sarani GraphQL iliyoundwa
+    variables = Map(String())  # Chaguzi GraphQL
+    detected_schemas = Array(String())  # Miundo ambazo sarani huangalia
+    confidence = Double()
+```
+
+#### 3.2 Sarani ya Data
+Faili mpya: `services/structured_query.py`
+
+```python
+from pulsar.schema import Record, String, Map, Array
+from ..core.primitives import Error
+
+class StructuredQueryRequest(Record):
+    query = String()  # Sarani GraphQL
+    variables = Map(String())  # Chaguzi GraphQL
+    operation_name = String()  # Mara kama jina la operesheni kwa hati za mfululizo
+
+class StructuredQueryResponse(Record):
+    error = Error()
+    data = String()  # Data iliyoundwa kwa JSON
+    errors = Array(String())  # Mara kama ada GraphQL
+```
+
+#### 2.2 Pato la Uteuzi wa Madhara
+Faili mpya: `knowledge/object.py`
+
+```python
+from pulsar.schema import Record, String, Map, Double
+from ..core.metadata import Metadata
+
+class ExtractedObject(Record):
+    metadata = Metadata()
+    schema_name = String()  # Mara kama mfano
+    values = Map(String())  # Jina la shamba -> thamani
+    confidence = Double()
+    source_span = String()  # Mara kama kitanzi
+```
+
+### 4. Mfano wa Maarifa
+
+#### 4.1 Uboreshaji wa Embedings
+Badilisha `knowledge/embeddings.py` ili kusaidia uhifadhi wa madhara iliyoundwa:
+
+```python
+class StructuredObjectEmbedding(Record):
+    metadata = Metadata()
+    vectors = Array(Array(Double()))
+    schema_name = String()
+    object_id = String()  # Thamani muhimu
+    field_embeddings = Map(Array(Double()))  # Embedings kwa kila shamba
+```
+
+## Vitu vya Uunganishi
+
+### Uunganishi wa Mzunguko
+
+Mifano itatumika na moduli mpya za mzunguko:
+- `trustgraph-flow/trustgraph/decoding/structured` - Inatumia StructuredDataSubmission
+- `trustgraph-flow/trustgraph/query/nlp_query/cassandra` - Inatumia mifano za sarani
+- `trustgraph-flow/trustgraph/query/objects/cassandra` - Inatumia mifano za sarani
+- `trustgraph-flow/trustgraph/extract/object/row/` - Inatumia Chunk, inatoa ExtractedObject
+- `trustgraph-flow/trustgraph/storage/objects/cassandra` - Inatumia mfano wa Rows
+- `trustgraph-flow/trustgraph/embeddings/object_embeddings/qdrant` - Inatumia mifano za embedings