mattermost-community-enterp.../vendor/github.com/blevesearch/bleve_index_api/vector.go
Claude ec1f89217a Merge: Complete Mattermost Server with Community Enterprise
Full Mattermost server source with integrated Community Enterprise features.
Includes vendor directory for offline/air-gapped builds.

Structure:
- enterprise-impl/: Enterprise feature implementations
- enterprise-community/: Init files that register implementations
- enterprise/: Bridge imports (community_imports.go)
- vendor/: All dependencies for offline builds

Build (online):
  go build ./cmd/mattermost

Build (offline/air-gapped):
  go build -mod=vendor ./cmd/mattermost

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

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-17 23:59:07 +09:00

71 lines
2.0 KiB
Go

// 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,
}