ServiceUpdated on 17 June 2026
RAG Systems & LLM Features That Ship to Production
AI Solutions Architect at Mindum
Lahore, Pakistan
About
We build retrieval-augmented generation and LLM-powered features that actually ship and hold up in real use, not just in demos.
What we deliver:
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Intelligent search and Q&A over your own documents and data
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Document, knowledge, and content automation
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The full RAG pipeline: data, embeddings, vector store, retrieval, and prompt design
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Integration into your existing application and stack
For teams that want trustworthy LLM features in production, with accuracy and reliability built in.
Applies to
- AI/Robotics
- Cloud Computing, Data, IoT
Organisation
Similar opportunities
Service
- Consulting
- Development
- AI/Robotics
- Finance & Digital Assets
- Cloud Computing, Data, IoT
Evi Brousta
Communications Director at LIBRA AI Technologies
Athens, Greece
Expertise
LLM Evaluation, Guardrailing & EU AI Act Compliance — Applied AI/NLP Advisory
- AI & Robotics
- Finance & Digital Assets
Eduardo Brito
Founder and Independent AI Consultant at Brito Chacón SRL/BV
Brussels, Belgium
Service
Enterprise generative AI: grounded RAG knowledge & decision systems
- Consulting
- Development
- AI/Robotics
- Industry 4.0 & Autotech
- Cloud Computing, Data, IoT
Andreas Baumann
CEO at Webware - Experts OHG
Bernau, Germany