40 lines
1.5 KiB
Go
40 lines
1.5 KiB
Go
/*
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* Copyright 2024 CloudWeGo Authors
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package embedding
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import "context"
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// Embedder converts a batch of strings into dense vector representations.
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//
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// EmbedStrings returns one vector per input text, in the same order. The
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// vector length (dimensions) is fixed by the underlying model and identical
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// for every text in the batch.
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//
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// The returned [][]float64 maps as:
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//
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// embeddings[i] → vector for texts[i]
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// len(embeddings[i]) → model's embedding dimension (e.g. 1536 for ada-002)
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//
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// Both [Indexer] and [Retriever] use an Embedder to convert documents and
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// queries into vectors. They must share the exact same model — mismatched
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// dimensions or model families break semantic similarity.
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//
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//go:generate mockgen -destination ../../internal/mock/components/embedding/Embedding_mock.go --package embedding -source interface.go
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type Embedder interface {
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EmbedStrings(ctx context.Context, texts []string, opts ...Option) ([][]float64, error) // invoke
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}
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