Integrate BACKBEAT SDK and resolve KACHING license validation

Major integrations and fixes:
- Added BACKBEAT SDK integration for P2P operation timing
- Implemented beat-aware status tracking for distributed operations
- Added Docker secrets support for secure license management
- Resolved KACHING license validation via HTTPS/TLS
- Updated docker-compose configuration for clean stack deployment
- Disabled rollback policies to prevent deployment failures
- Added license credential storage (CHORUS-DEV-MULTI-001)

Technical improvements:
- BACKBEAT P2P operation tracking with phase management
- Enhanced configuration system with file-based secrets
- Improved error handling for license validation
- Clean separation of KACHING and CHORUS deployment stacks

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

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

vendor/github.com/blevesearch/bleve_index_api/vector.go

@@ -0,0 +1,70 @@
+//  Copyright (c) 2023 Couchbase, Inc.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// 		http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+//go:build vectors
+// +build vectors
+
+package index
+
+type VectorField interface {
+	Vector() []float32
+	// Dimensionality of the vector
+	Dims() int
+	// Similarity metric to be used for scoring the vectors
+	Similarity() string
+	// nlist/nprobe config (recall/latency) the index is optimized for
+	IndexOptimizedFor() string
+}
+
+// -----------------------------------------------------------------------------
+
+const (
+	EuclideanDistance = "l2_norm"
+
+	InnerProduct = "dot_product"
+
+	CosineSimilarity = "cosine"
+)
+
+const DefaultVectorSimilarityMetric = EuclideanDistance
+
+// Supported similarity metrics for vector fields
+var SupportedVectorSimilarityMetrics = map[string]struct{}{
+	EuclideanDistance: {},
+	InnerProduct:      {},
+	CosineSimilarity:  {},
+}
+
+// -----------------------------------------------------------------------------
+
+const (
+	IndexOptimizedForRecall          = "recall"
+	IndexOptimizedForLatency         = "latency"
+	IndexOptimizedForMemoryEfficient = "memory-efficient"
+)
+
+const DefaultIndexOptimization = IndexOptimizedForRecall
+
+var SupportedVectorIndexOptimizations = map[string]int{
+	IndexOptimizedForRecall:          0,
+	IndexOptimizedForLatency:         1,
+	IndexOptimizedForMemoryEfficient: 2,
+}
+
+// Reverse maps vector index optimizations': int -> string
+var VectorIndexOptimizationsReverseLookup = map[int]string{
+	0: IndexOptimizedForRecall,
+	1: IndexOptimizedForLatency,
+	2: IndexOptimizedForMemoryEfficient,
+}