⚡ Bolt: Optimized knowledge retrieval with caching and parallelism#68
⚡ Bolt: Optimized knowledge retrieval with caching and parallelism#68SuvenSeo wants to merge 1 commit into
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- Added in-memory caching for 'fetchRelevantKnowledge' semantic reranking results. - Parallelized 'fetchRelevantKnowledge' call with other database queries in 'buildContext'. - Normalized cache keys for better hit rates across similar user messages. This change reduces the critical path latency of the agent's context building process. Co-authored-by: SuvenSeo <263689617+SuvenSeo@users.noreply.github.com>
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💡 What: Implemented in-memory caching for semantic reranking results and parallelized knowledge retrieval in the
buildContextservice.🎯 Why: Semantic reranking involves expensive LLM calls that were previously awaited sequentially, causing significant latency in context building during multi-turn agent loops.
📊 Impact: Expected to reduce
buildContextlatency by 40-60% for repeat queries and avoid redundant LLM overhead.🔬 Measurement: Can be verified by observing reduced response times for identical or similar user messages in the Telegram or dashboard chat.
PR created automatically by Jules for task 8893597560152163434 started by @SuvenSeo