LLM Integration Capabilities
Semantic Search
Replace keyword search with AI-powered semantic search — users find relevant results even when they use different words. Built with vector embeddings and Pinecone or pgvector.
Document Summarisation
Summarise long reports, contracts, emails, and articles into concise key points — saving hours of reading time per day for your team.
Code Generation & Review
Add AI coding assistance to your developer tools — auto-complete, bug detection, code explanation, and refactoring suggestions powered by GPT-4o.
Natural Language Interfaces
Let users query your database, generate reports, or control your app using plain English or Arabic — no technical knowledge required.
RAG Pipeline Development
Retrieval-Augmented Generation (RAG) pipelines that ground LLM responses in your proprietary data — reducing hallucinations and improving accuracy.
LLM Cost Optimisation
Caching, prompt compression, model routing (use cheap models for simple tasks, powerful ones for complex), and token budgeting to minimise your API spend.
Which LLM Is Right for Your Use Case?
| Model | Best For |
|---|---|
| GPT-4o | General tasks, function calling, multimodal |
| Claude 3.5 Sonnet | Long documents, precise instructions, coding |
| Gemini 1.5 Pro | Multimodal (image + text), long context |
| Llama 3 (local) | Data sovereignty, no API cost, offline use |
| Mistral Large | European/GDPR compliance, multilingual |
| Embedding models | Semantic search, RAG, similarity matching |
Ready to Add AI to Your Product?
No rebuild needed. We integrate LLM capabilities into your existing app in 2–5 weeks. Free consultation.
Get a Free Integration Quote