58 lines
1.6 KiB
Markdown
58 lines
1.6 KiB
Markdown
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```kotlin title="Kotlin"
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import dev.kreuzberg.*
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import java.nio.file.Paths
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import java.util.Optional
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data class VectorRecord(
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val id: String,
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val content: String,
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val embedding: List<Float>,
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val metadata: Map<String, String>,
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)
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fun extractAndVectorize(documentPath: String, documentId: String): List<VectorRecord> {
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val embedding = EmbeddingConfig.builder()
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.withModel(EmbeddingModelType.Preset("balanced"))
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.withNormalize(true)
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.withBatchSize(32L)
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.build()
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val chunking = ChunkingConfig.builder()
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.withMaxCharacters(512L)
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.withOverlap(50L)
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.withEmbedding(Optional.of(embedding))
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.build()
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val config = ExtractionConfig.builder()
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.withChunking(Optional.of(chunking))
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.build()
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val result = Kreuzberg.extractFileSync(Paths.get(documentPath), null, config)
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val records = mutableListOf<VectorRecord>()
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val chunks = result.chunks() ?: return records
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for ((index, chunk) in chunks.withIndex()) {
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val vector = chunk.embedding() ?: continue
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val metadata = mapOf(
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"document_id" to documentId,
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"chunk_index" to index.toString(),
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"content_length" to chunk.content().length.toString(),
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)
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records.add(
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VectorRecord(
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id = "${documentId}_chunk_$index",
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content = chunk.content(),
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embedding = vector,
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metadata = metadata,
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)
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)
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}
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return records
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}
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fun main() {
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val records = extractAndVectorize("document.pdf", "doc-001")
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println("Generated ${records.size} vector records")
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}
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```
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