tri.ai.openai.OpenAiEmbeddingService.kt Maven / Gradle / Ivy

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/*-
 * #%L
 * promptkt-0.1.0-SNAPSHOT
 * %%
 * Copyright (C) 2023 Johns Hopkins University Applied Physics Laboratory
 * %%
 * 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.
 * #L%
 */
package tri.ai.openai

import tri.ai.embedding.EmbeddingService
import tri.ai.embedding.TextChunk
import tri.ai.embedding.TextChunker.chunkBySections

/** An embedding service that uses the OpenAI API. */
class OpenAiEmbeddingService(val client: OpenAiClient = OpenAiClient.INSTANCE, override val modelId: String = EMBEDDING_ADA) : EmbeddingService {

    override fun toString() = modelId

    private val embeddingCache = mutableMapOf>()

    override suspend fun calculateEmbedding(text: List): List> {
        val res = client.quickEmbedding(inputs = text, modelId = modelId).value
            ?: throw IllegalStateException("No embedding returned.")
        res.forEachIndexed { index, list -> embeddingCache[text[index]] = list }
        return res
    }

    override fun chunkTextBySections(text: String, maxChunkSize: Int) =
        TextChunk(text).chunkBySections(maxChunkSize, combineShortSections = true)

}