feat(helm): migrate to new environment variable naming convention

Replace deprecated environment variables with new consolidated names:
- VECTOR_SYNC_ENABLED → ENABLE_SEMANTIC_SEARCH
- ENABLE_OFFLINE_ACCESS → ENABLE_BACKGROUND_OPERATIONS

Update values.yaml structure:
- Rename 'vectorSync' section to 'semanticSearch'
- Update descriptions to emphasize BM25 hybrid search

Benefits:
- Aligns with application-level config consolidation
- Clearer naming: "semantic search" vs "vector sync"
- Maintains backward compatibility via application deprecation handling
- Automatic enablement of background ops when semantic search enabled in multi-user modes

Updated files:
- values.yaml: Renamed vectorSync → semanticSearch
- deployment.yaml: New env var names with deprecation comments
- NOTES.txt: Updated deployment notes
- README.md: Updated documentation and examples

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

charts/nextcloud-mcp-server/README.md

@@ -208,16 +208,16 @@ The application exposes HTTP health check endpoints:
 
 #### Vector Search & Semantic Capabilities (Optional)
 
-Enable semantic search capabilities by deploying a vector database (Qdrant) and embedding service (Ollama or OpenAI).
+Enable semantic search capabilities with BM25 hybrid search by deploying a vector database (Qdrant) and embedding service (Ollama or OpenAI).
 
-**Vector Sync Configuration:**
+**Semantic Search Configuration:**
 
 | Parameter | Description | Default |
 |-----------|-------------|---------|
-| `vectorSync.enabled` | Enable background vector synchronization | `false` |
-| `vectorSync.scanInterval` | Scan interval in seconds | `3600` |
-| `vectorSync.processorWorkers` | Number of concurrent processor workers | `3` |
-| `vectorSync.queueMaxSize` | Maximum queue size for pending documents | `10000` |
+| `semanticSearch.enabled` | Enable semantic search and background vector synchronization | `false` |
+| `semanticSearch.scanInterval` | Scan interval in seconds | `3600` |
+| `semanticSearch.processorWorkers` | Number of concurrent processor workers | `3` |
+| `semanticSearch.queueMaxSize` | Maximum queue size for pending documents | `10000` |
 
 **Document Chunking Configuration:**
 
@@ -537,8 +537,8 @@ auth:
     username: admin
     password: secure-password
 
-# Enable vector sync
-vectorSync:
+# Enable semantic search
+semanticSearch:
   enabled: true
   scanInterval: 1800  # Scan every 30 minutes
   processorWorkers: 5
@@ -576,7 +576,7 @@ ollama:
 Or use an external Ollama instance:
 
 ```yaml
-vectorSync:
+semanticSearch:
   enabled: true
 
 qdrant:
@@ -592,7 +592,7 @@ ollama:
 Or use OpenAI for embeddings:
 
 ```yaml
-vectorSync:
+semanticSearch:
   enabled: true
 
 qdrant:

charts/nextcloud-mcp-server/templates/NOTES.txt

@@ -69,12 +69,12 @@ Your Nextcloud MCP Server has been deployed in {{ .Values.auth.mode }} authentic
    {{- end }}
 {{- end }}
 
-{{- if .Values.vectorSync.enabled }}
+{{- if .Values.semanticSearch.enabled }}
 
-5. Vector Search & Semantic Capabilities:
-   - Vector Sync: Enabled
-   - Scan Interval: {{ .Values.vectorSync.scanInterval }}s
-   - Processor Workers: {{ .Values.vectorSync.processorWorkers }}
+5. Semantic Search & Vector Capabilities:
+   - Semantic Search: Enabled
+   - Scan Interval: {{ .Values.semanticSearch.scanInterval }}s
+   - Processor Workers: {{ .Values.semanticSearch.processorWorkers }}
    {{- if .Values.qdrant.enabled }}
    - Qdrant: Deployed as subchart ({{ .Release.Name }}-qdrant:6333)
    {{- else }}

charts/nextcloud-mcp-server/templates/deployment.yaml

@@ -88,8 +88,8 @@ spec:
             - name: NEXTCLOUD_PUBLIC_ISSUER_URL
               value: {{ include "nextcloud-mcp-server.publicIssuerUrl" . | quote }}
             {{- if .Values.auth.multiUserBasic.enableOfflineAccess }}
-            # Background operations with app passwords
-            - name: ENABLE_OFFLINE_ACCESS
+            # Background operations with app passwords (replaces deprecated ENABLE_OFFLINE_ACCESS)
+            - name: ENABLE_BACKGROUND_OPERATIONS
               value: "true"
             - name: TOKEN_STORAGE_DB
               value: {{ .Values.auth.multiUserBasic.tokenStorageDb | quote }}
@@ -182,16 +182,16 @@ spec:
               value: {{ .Values.documentProcessing.custom.types | quote }}
             {{- end }}
             {{- end }}
-            # Vector Sync
-            - name: VECTOR_SYNC_ENABLED
-              value: {{ .Values.vectorSync.enabled | quote }}
-            {{- if .Values.vectorSync.enabled }}
+            # Semantic Search (replaces deprecated VECTOR_SYNC_ENABLED)
+            - name: ENABLE_SEMANTIC_SEARCH
+              value: {{ .Values.semanticSearch.enabled | quote }}
+            {{- if .Values.semanticSearch.enabled }}
             - name: VECTOR_SYNC_SCAN_INTERVAL
-              value: {{ .Values.vectorSync.scanInterval | quote }}
+              value: {{ .Values.semanticSearch.scanInterval | quote }}
             - name: VECTOR_SYNC_PROCESSOR_WORKERS
-              value: {{ .Values.vectorSync.processorWorkers | quote }}
+              value: {{ .Values.semanticSearch.processorWorkers | quote }}
             - name: VECTOR_SYNC_QUEUE_MAX_SIZE
-              value: {{ .Values.vectorSync.queueMaxSize | quote }}
+              value: {{ .Values.semanticSearch.queueMaxSize | quote }}
             {{- end }}
             # Document Chunking (always set, used by vector sync processor)
             - name: DOCUMENT_CHUNK_SIZE

charts/nextcloud-mcp-server/values.yaml

@@ -358,10 +358,11 @@ extraEnvFrom: []
 # - secretRef:
 #     name: my-secret
 
-# Vector Sync Configuration
-# Background synchronization of Nextcloud content into vector database for semantic search
-vectorSync:
-  # Enable background vector synchronization
+# Semantic Search Configuration
+# Enable semantic search with BM25 hybrid search and background synchronization
+# of Nextcloud content into vector database
+semanticSearch:
+  # Enable semantic search and background vector synchronization
   enabled: false
   # Scan interval in seconds (how often to check for changes)
   scanInterval: 3600
@@ -372,7 +373,7 @@ vectorSync:
 
 # Document Chunking Configuration
 # Controls how documents are split into chunks before embedding
-# Only relevant when vectorSync.enabled is true
+# Only relevant when semanticSearch.enabled is true
 documentChunking:
   # Number of words per chunk (default: 512)
   # Smaller chunks (256-384): Better for precise searches, more chunks to store