Generative AI Suite with LLMs
A set of generative AI tools — document summarisation, content generation and intelligent assistants — built on GPT-4o and custom LangChain pipelines, with dashboards that let non-technical teams use them daily.
- Year
- 2025
- Engagement
- Ongoing generative AI development
- Focus
- Generative AI, AI/ML
- Status
- Delivered
01 — The problem
Teams wanted to use LLMs for real work, but raw chat interfaces gave inconsistent results and no way to plug in company knowledge or house style.
02 — Our solution
Purpose-built tools, each with its own prompt pipeline, retrieval over the right data and a simple interface — so a marketer or analyst gets a reliable result without prompt engineering.
How it works
The pipeline, step by step — from the first input to the final output.
- 01
Inputs
Documents, briefs and knowledge bases are ingested and embedded into a vector store.
- 02
Pipelines
LangChain pipelines combine retrieval, templates and model calls per tool.
- 03
Models
GPT-4o for quality-critical steps, open HuggingFace models where cost matters.
- 04
Dashboards
Simple web UIs with history, re-generation and export.
What we built
The outcomes
01
Automated content creation
02
Improved productivity for client teams
03
Scalable AI infrastructure
Challenges we solved
Consistency over novelty
Structured templates and retrieval made outputs predictable enough for daily use.
Technology stack
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