Why I Replaced Vector Search with Hindsight for Meeting Notes

Querying Hindsight Memory Engine Before generating the dossier, the backend queries Hindsight to fetch historical context, past commitments, and entity-specific constraints related to the client. import { HindsightClient } from '@vectorize-io/hindsight'; const hindsight = new HindsightClient({ apiKey: process.env.HINDSIGHT_API_KEY, }); export async function fetchEntityMemory(companyName: string, meetingPurpose: string) { // Retrieve continuous contextual facts rather than simple keyword matches const memoryContext = await hindsight.retrieveMemory({ entityId: companyName, query: meetingPurpose, includeUnresolvedPromises: true, temporalOrdering: 'descending', }); return { historySummary: memoryContext.summary, openCommitments: memoryContext.unresolvedPromises, pastFrictionPoints: memoryContext.historicalRisks, }; } Synthesizing the Structured Dossier Payload The engine formats the retrieved memory along with current inputs to prompt the model