Process
How TotalMind AI Builds Reliable Systems
A focused, evaluation-driven approach to building assistants that stay grounded in their source material.
01
Understand the Knowledge Base
Identify the client's documents, users, workflows, and accuracy requirements.
02
Structure and Index the Archive
Clean, chunk, embed, and organize the source material for precise retrieval.
03
Build the Grounded Assistant
Develop the retrieval pipeline, response logic, citation behavior, and user interface.
04
Evaluate and Improve
Test answers across representative questions, measuring accuracy, completeness, source use, latency, and cost.
05
Deploy and Iterate
Refine the system based on real user behavior, edge cases, and changing organizational needs.
Capabilities
Technical Capabilities
An overview of the techniques and components used across TotalMind AI engagements.
01Retrieval-Augmented Generation
02Vector Search and Embeddings
03Hybrid Search
04Source Citation and Provenance
05Quote Extraction
06Page-Level References
07Prompt and System Design
08RAG Evaluation
09Latency and Cost Optimization
10Dataset Cleaning and Structuring
11Internal Search Interfaces
12Domain-Specific AI Assistants