Under the Hood:
The Temigis Architecture
An editorial deep-dive into the high-performance intelligence layer powering the next generation of life-sciences decision making.
Intelligent Orchestration Engine
At Temigis's core is a LangChain ReAct agent that acts as a smart dispatcher, analysing user intent to route queries to the most effective tool, whether it's a specialised agent or a general database query.
For complex queries, an automated entity resolution and disambiguation pipeline ensures precision by identifying the correct pharmaceutical product in your database before executing a task.
"If ambiguity exists, Temigis proactively asks for clarification."
Dual-Model Infrastructure
A dual-model Google Cloud architecture is used for optimal performance:
Gemini Flash Lite
High-Speed Reasoning & Selection
Gemini Pro
Comprehensive Executive Summaries
Advanced RAG Architecture
Temigis leverages a Retrieval-Augmented Generation (RAG) pipeline that unifies structured and unstructured data through comprehensive embedding pipelines, vectorised with pgvector.
Unified Knowledge Access
Semantic search is powered by a high-performance Google Cloud AlloyDB instance for PostgreSQL, allowing Temigis to surface the most relevant information from across your entire knowledge base, combining both SQL queries and vector similarity search.
Engineered for Performance & Quality
The atomic architecture is engineered for high performance and long-term maintainability, enabling faster response times and ensuring the system can easily scale as new capabilities are added.
The system is validated by a rigorous quality framework, with a comprehensive suite of automated tests to ensure the highest levels of accuracy and reliability for all outputs. The entire system is hosted securely in the Google Cloud Platform (GCP) environment, utilising serverless architecture with Google Cloud Functions and API Gateway for seamless scalability and enterprise-grade security.
Temigis has been designed for teams across commercial, regulatory, and strategic functions, enabling self-service insights, reducing dependence on analysts, and preserving institutional knowledge for good.
Built by experts. Guided by context.
Designed to help life sciences leaders think faster and act smarter.