94 lines
3.4 KiB
TypeScript
94 lines
3.4 KiB
TypeScript
import "dotenv/config";
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import { loadConfig } from "@voidbot/config";
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import {
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createTextEmbedder,
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FileMessageArchiveRepository,
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FileSourceDocumentArchiveRepository,
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HistoryIngester,
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SourceDocumentIngester,
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createVectorStores,
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} from "@voidbot/rag";
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const REBUILD_CHUNK_BATCH_SIZE = 64;
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async function main(): Promise<void> {
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if (!process.env.DISCORD_OWNER_ID) {
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process.env.DISCORD_OWNER_ID = "__rag_rebuild__";
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}
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const config = loadConfig();
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const archiveRepository = new FileMessageArchiveRepository(config.ragArchivePath);
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const sourceArchiveRepository = new FileSourceDocumentArchiveRepository(config.ragSourceArchivePath);
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const embedder = createTextEmbedder({
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backend: config.ragEmbeddingBackend,
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hashDimensions: config.ragEmbeddingDimensions,
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ollamaBaseUrl: config.ragOllamaBaseUrl,
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ollamaModel: config.ragOllamaModel,
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ollamaTimeoutMs: config.ragOllamaTimeoutMs,
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queryInstruction: config.ragQueryInstruction,
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});
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const vectorStores = createVectorStores({
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kind: config.vectorStore.kind,
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historyPath: config.vectorStore.path,
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personaMemoryPath: config.vectorStore.personaMemoryPath,
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sourceRoot: config.sourceVectorStoreRoot,
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qdrant: config.qdrant,
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historyEmbedder: embedder,
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sourceEmbedder: embedder,
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personaMemoryEmbedder: embedder,
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});
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const vectorStore = vectorStores.history;
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const sourceVectorStore = vectorStores.source;
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const personaMemoryVectorStore = vectorStores.personaMemory;
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const historyIngester = new HistoryIngester();
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const sourceIngester = new SourceDocumentIngester();
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const activeMessages = await archiveRepository.listAllActive();
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const historyChunks = historyIngester.chunkMessages(activeMessages);
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const sourceDocuments = await sourceArchiveRepository.listAll();
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const sourceChunks = sourceIngester.chunkDocuments(sourceDocuments);
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await vectorStore.clear();
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await sourceVectorStore.clear();
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await personaMemoryVectorStore.clear();
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for (let index = 0; index < historyChunks.length; index += REBUILD_CHUNK_BATCH_SIZE) {
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const batch = historyChunks.slice(index, index + REBUILD_CHUNK_BATCH_SIZE);
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if (batch.length === 0) {
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continue;
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}
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await vectorStore.upsert(batch);
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if ((index / REBUILD_CHUNK_BATCH_SIZE + 1) % 25 === 0 || index + batch.length >= historyChunks.length) {
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console.log(`History rebuild progress: ${Math.min(index + batch.length, historyChunks.length)}/${historyChunks.length} chunks`);
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}
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}
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for (let index = 0; index < sourceChunks.length; index += REBUILD_CHUNK_BATCH_SIZE) {
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const batch = sourceChunks.slice(index, index + REBUILD_CHUNK_BATCH_SIZE);
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if (batch.length === 0) {
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continue;
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}
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await sourceVectorStore.upsert(batch);
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if ((index / REBUILD_CHUNK_BATCH_SIZE + 1) % 25 === 0 || index + batch.length >= sourceChunks.length) {
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console.log(`Source rebuild progress: ${Math.min(index + batch.length, sourceChunks.length)}/${sourceChunks.length} chunks`);
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}
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}
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console.log(`Embedder: ${embedder.id}`);
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console.log(`Archived active messages: ${activeMessages.length}`);
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console.log(`Archived source documents: ${sourceDocuments.length}`);
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console.log(`History chunks rebuilt: ${historyChunks.length}`);
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console.log(`Source chunks rebuilt: ${sourceChunks.length}`);
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console.log(`Indexed chunks rebuilt: ${historyChunks.length + sourceChunks.length}`);
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}
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void main().catch((error) => {
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console.error(error);
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process.exitCode = 1;
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});
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