⚡ Bolt: optimize knowledge retrieval in buildContext#69
Conversation
- Parallelize fetchRelevantKnowledge with other DB queries in buildContext - Implement in-memory TTL caching for semantic reranking results - Extract STOP_WORDS to module-level constant - Move keyword extraction to the beginning of buildContext for parallelization Co-authored-by: SuvenSeo <263689617+SuvenSeo@users.noreply.github.com>
|
👋 Jules, reporting for duty! I'm here to lend a hand with this pull request. When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down. I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job! For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with New to Jules? Learn more at jules.google/docs. For security, I will only act on instructions from the user who triggered this task. |
|
The latest updates on your projects. Learn more about Vercel for GitHub.
|
💡 What: Optimized the
buildContextandfetchRelevantKnowledgefunctions infrontend/src/lib/services/context.js.STOP_WORDSto a top-level constant.buildContextto allow parallelization.fetchRelevantKnowledgepromise in the mainPromise.allblock.fetchRelevantKnowledge.🎯 Why: In agentic multi-turn tool loops,
buildContextis called before every Groq API call. The knowledge retrieval part was executed serially and involved a slow LLM-based semantic reranking step that was repeated even for identical queries, causing significant latency.📊 Impact: Reduces
buildContextexecution time by parallelizing the slowest DB/LLM call and eliminates redundant LLM calls via caching.🔬 Measurement: Verified that
npm testandnpm run lintpass. Observe reduced latency in multi-turn Telegram chat interactions where the same user message context is re-evaluated.PR created automatically by Jules for task 8370752873178287501 started by @SuvenSeo