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justyns / silverbullet-ai

Plug for SilverBullet to integrate LLM functionality
https://ai.silverbullet.md/
GNU Affero General Public License v3.0
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Use a separate queue for indexing embeddings and summaries, to prevent blocking the main SB indexing thread #61

Closed justyns closed 3 weeks ago

justyns commented 3 weeks ago

related: https://github.com/silverbulletmd/silverbullet/issues/1021

Summary by CodeRabbit

coderabbitai[bot] commented 3 weeks ago
Walkthrough ## Walkthrough The changes to the `src/embeddings.ts` file focus on enhancing the functionality and usability of embedding and summarization processes. Key modifications include refactoring function parameters for simplicity, introducing queuing mechanisms for embedding and summary tasks, and improving logging for better observability during execution. These updates streamline operations and ensure that indexing processes remain efficient and organized. ## Changes | File | Change Summary | |-------------------------|----------------------------------------------------------------------------------------------------------------------------------------| | src/embeddings.ts | Refactored `indexEmbeddings`, `indexSummary`, and `queueEmbeddingGeneration` functions to accept a single string parameter, `page`. Added `processEmbeddingsQueue` and `processSummaryQueue` for handling queued tasks. Updated logging in `indexSummary` to include processing duration. Imports for `mq` and `MQMessage` added for queuing functionalities. | ## Sequence Diagram(s) ```mermaid sequenceDiagram participant User participant Queue participant EmbeddingService participant SummaryService User->>Queue: Queue page indexing event Queue->>EmbeddingService: Process embedding generation EmbeddingService->>Queue: Generate embeddings Queue->>SummaryService: Process summary generation SummaryService->>Queue: Generate summary Queue->>User: Respond with indexing status ```

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