Who should use the Semantic Search workflow?
Teams or solo builders working on work tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Work
A streamlined workflow to prepare documents, analyze queries, execute semantic search, and classify results for efficient information retrieval.
Deliverable outcome
Final organized results are ready for presentation or further integration.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
Final organized results are ready for presentation or further integration.
Use each step output as the input for the next stage
Step map
Instead of relying on a single generic AI model, this pipeline connects specialized tools to maximize quality. First, you'll use Altumatim to documents are indexed and ready for search, reducing retrieval time and improving relevance. Then, you pass the output to Contextual AI to optimized queries are generated, enhancing the quality of search results. Then, you pass the output to Zilliz to relevant search results are retrieved and ready for classification. Finally, Gemini for Google Workspace (formerly Duet AI) is used to final organized results are ready for presentation or further integration.
Index Documents
Documents are indexed and ready for search, reducing retrieval time and improving relevance.
Analyze Search Queries
Optimized queries are generated, enhancing the quality of search results.
Execute Semantic Search
Relevant search results are retrieved and ready for classification.
Classify Search Results
Final organized results are ready for presentation or further integration.
Use Altumatim to index and prepare documents for semantic search, ensuring text is clean, structured, and searchable.
Proper indexing is the foundation for accurate and fast semantic search results.
Documents are indexed and ready for search, reducing retrieval time and improving relevance.
Leverage Contextual AI to analyze search queries and optimize them for better semantic understanding and relevance.
Query analysis improves search accuracy by aligning user intent with indexed content.
Optimized queries are generated, enhancing the quality of search results.
Run the semantic search using Zilliz to retrieve documents that match the query context and meaning.
This core step directly produces the search results that users need.
Relevant search results are retrieved and ready for classification.
Use Gemini for Google Workspace to classify and organize search results into meaningful categories for delivery.
Classification makes search outputs usable by grouping them for easy consumption.
Final organized results are ready for presentation or further integration.
Timeline Map
§ Before you start
Teams or solo builders working on work tasks who want a repeatable process instead of one-off tool experiments.
No. Start with the top pick for each step, then replace tools only if they do not fit your pricing, compliance, or output needs.
Open the mapped task page and compare top options side by side. Prioritize output quality, integration fit, and predictable cost before scaling.
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