Time to first output
30-90 minutes
Includes setup plus initial result generation
Execution Map
Step-by-step pipeline
Step 1 of 5Open task page
Preparation: AI Chat
Prepare inputs and settings through AI Chat before running knowledge retrieval.
Why it matters
AI Chat sets up the foundation for knowledge retrieval; clean inputs here reduce downstream rework.
The Result
Inputs, context, and settings are ready so the workflow can move into execution without blockers.
⭐Top PickTop mapped tool
Onyx →Selected from the highest-fit tool mappings and active usage signals for this step.
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Step 2 of 5Open task page
Input Setup: Retrieval-Augmented Generation (RAG)
Use Retrieval-Augmented Generation (RAG) to build supporting assets that improve knowledge retrieval quality.
Why it matters
Retrieval-Augmented Generation (RAG) strengthens knowledge retrieval by feeding better supporting material into the pipeline.
The Result
Supporting assets from retrieval-augmented generation (rag) are prepared and connected to the main workflow.
⭐Top PickTop mapped tool
AI21 Studio →Selected from the highest-fit tool mappings and active usage signals for this step.
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Step 3 of 5Open task page
Core Execution: Knowledge Retrieval
Execute knowledge retrieval with Knowledge Retrieval to produce the primary final deliverable.
Why it matters
This is the core step where knowledge retrieval actually happens, so it determines baseline quality for everything after it.
The Result
A first-pass final deliverable is generated and ready for refinement in the next steps.
⭐Top PickTop mapped tool
Personal.ai →Best mapped choice for the core step based on task relevance and active usage signals.
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Step 4 of 5Open task page
Quality and Optimization: Organize knowledge
Refine and validate knowledge retrieval output using Organize knowledge before final delivery.
Why it matters
Organize knowledge adds quality control so issues are caught before the workflow is finalized.
The Result
The final deliverable is improved, validated, and prepared for final delivery.
⭐Top PickTop mapped tool
Snipd →Selected from the highest-fit tool mappings and active usage signals for this step.
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Step 5 of 5Open task page
Delivery: Knowledge Mapping
Package and ship the output through Knowledge Mapping so knowledge retrieval reaches end users.
Why it matters
Knowledge Mapping is what turns intermediate output into a usable, publishable result for real users.
The Result
A finalized final deliverable is ready for publishing, handoff, or integration.
⭐Top PickTop mapped tool
Citavi →Selected from the highest-fit tool mappings and active usage signals for this step.
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