RAG Engineers Hire

Body leasing of RAG engineers (Retrieval-Augmented Generation contracting) is a flexible model for hiring AI experts who combine advanced language models (LLM) with your company's internal databases and knowledge. Ensure error-free and safe responses from AI models, eliminating hallucinations.

What is RAG and why does your company need it?

Retrieval-Augmented Generation (RAG) is a technique that dynamically provides the LLM model (e.g. GPT-4, Claude, Gemini) with precise context from your internal documents (manuals, PDFs, SQL databases, CRM systems) when a question is asked. Thanks to this you get:

• Error-free answers: The model is based 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 don't have to expensively train models - just update the knowledge base.
• Access control: Possibility to precisely limit access to specific data for specific users.

Why is it worth hiring RAG engineers at Commoditech?

Implementing an efficient RAG system is a complicated task that requires knowledge of chunking (text division), vector embeddings and databases. Our AI engineers guarantee the highest quality of implementations:

• Search optimization (Search Quality): 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 and pgvector in terms of cost efficiency and query speed.
• Integration with LLM pipelines: We create solutions based on the LangChain and LlamaIndex frameworks, connecting them with your ERP, CRM, Slack or Confluence databases.
• Cloud experience: We implement systems in Google Cloud Platform (Vertex AI, GKE), AWS (Bedrock) and Azure AI environments.

Competences of our RAG & LLM engineers