RAG & Custom LLM Solutions

sp4rta builds retrieval-augmented systems for teams that need answers from their own material: policies, manuals, product docs, or internal files.

That includes embeddings, vector search, and the option to fine-tune or deploy a local or open-source model when a hosted API is the wrong fit.

How the work is approached

1. 01Define which documents are in scope and how fresh they need to be.
2. 02Design the retrieval pipeline so a wrong or missing source is visible.
3. 03Choose the model and hosting model around privacy, cost, and latency.