I will build a local rag knowledge base for company documents

Your company knowledge is often scattered across PDFs, manuals and folders. I build local RAG prototypes that retrieve relevant passages and return answers with traceable source references. The model and vector store are selected for your hardware and requirements. Typical building blocks include Ollama and a local vector database such as Qdrant. The package and data scope are confirmed before work starts; no cloud service is included unless we agree to it explicitly.

You receive a prototype sized to the selected package, sample-question testing, written setup notes and, for Premium, a handover walkthrough. We can also arrange a practical team workshop on using and maintaining the system.

Please message me first with document types, approximate volume, available hardware and intended users. Use anonymized sample files for initial scoping. Production hardening, hosting, security certification, migration from confidential systems and guaranteed answer accuracy are not included unless separately agreed.