Our Services
Our LLM engineering services
From prompt design to production deployment — a complete LLM engineering service.
RAG Architecture & Implementation
Retrieval-Augmented Generation is the most reliable way to add LLM capabilities to products that need to reference specific documents or knowledge bases. We design and build RAG systems that are accurate, fast, and cost-efficient.
Document Processing Pipeline
Chunking strategy, metadata extraction, and embedding generation for your document corpus.
Vector Store Setup
Pinecone, Weaviate, or pgvector setup with index configuration optimised for your query patterns.
Retrieval Strategy
Hybrid search (dense + sparse), re-ranking, and contextual compression for retrieval quality.
Response Generation
Prompt engineering, context injection, and answer extraction for accurate, grounded responses.