Search Query Processing Flow Diagram
This diagram traces how a user's search query is transformed, matched against an index, ranked, and returned as results. It's a great reference for teams building or explaining search infrastructure. Tip: include the feedback loop from click-through data since it's often key to improving ranking quality over time.
The prompt behind this diagram
Design a search query processing flow diagram showing: User Enters Query, Query Preprocessing (spell check, tokenization), Query Expansion (synonyms), an Index Lookup against an Inverted Index, a Ranking Algorithm scoring matched documents using relevance signals, a Filtering step applying user preferences/facets, Results Pagination, and finally Search Results Displayed to User. Include a Click-Through Feedback loop from displayed results back into the Ranking Algorithm for continuous improvement.
Paste your own description (or Terraform / docker-compose / SQL schema) into draft1 and get a diagram like this for your exact system.
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