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KI-Pipeline-Zyklus

Watch the full RAG lifecycle: embed → retrieve → rank → context → generate → stream. generate typically dominates the waterfall — that's the teaching moment.

Pipeline

order & status
CLIENTSERVERBrowser — client-side form submission or fetch callBrowserNetwork — HTTP round-trip between browser and serverNetworkServer — SvelteKit hooks, validation, authServerEmbed — embed query into vector representationEmbedRetrieve — vector + graph search across tiersRetrieveRank — RRF fusion of multi-tier resultsRankContext — assemble final prompt context blockContextGenerate — LLM streaming — first token → final tokenGenerateResponse — serialization back to the clientResponse

Waterfall

relative timing
Browser
Network
Server
Embed
Retrieve
Rank
Context
Generate
Response
Timeline steps
StepStart (ms)Duration (ms)Status
Browser00pending
Network00pending
Server00pending
Embed00pending
Retrieve00pending
Rank00pending
Context00pending
Generate00pending
Response00pending

Geht dieses Pattern noch besser? Sag uns, wie.

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