Hire RAG Engineers

IT staff augmentation for RAG engineers (Retrieval-Augmented Generation contracting) is a flexible model for hiring AI experts who connect advanced language models (LLMs) with your company's internal databases and knowledge base. Ensure accurate and secure AI model responses while eliminating hallucinations.

What is RAG and why does your company need it?

Retrieval-Augmented Generation (RAG) is a technique that dynamically provides an LLM model (e.g., GPT-4, Claude, Gemini) with precise context from your internal documents (instructions, PDFs, SQL databases, CRM systems) at the moment a question is asked. This provides you with:

• Accurate Responses: The model relies solely on facts from your files, minimizing AI hallucinations.
• Data Security: Sensitive enterprise data is not used to train public models.
• Always Up-to-Date Knowledge: You do not need to perform expensive fine-tuning on models – simply update the knowledge base.
• Access Control: The ability to restrict access to specific data for particular users.

Why hire RAG engineers at Commoditech?

Implementing an efficient RAG system is a complex task requiring expertise in chunking (text splitting), vector embeddings, and databases. Our AI engineers guarantee the highest quality deployments:

• Search Quality Optimization: We design hybrid search mechanisms (Keyword + Vector Semantic Search) and reranking systems (e.g., Cohere Rerank) for maximum document relevance.
• Vector Database Management: We configure and optimize databases such as Qdrant, Pinecone, ChromaDB, Milvus, or pgvector for cost efficiency and query speed.
• Integration with LLM Pipelines: We build solutions based on LangChain and LlamaIndex frameworks, integrating them with your ERP, CRM databases, Slack, or Confluence.
• Cloud Experience: We deploy systems in Google Cloud Platform (Vertex AI, GKE), AWS (Bedrock), and Azure AI environments.

Competencies of our RAG & LLM engineers