RAG and enterprise search is how you get an AI that answers from your documents — accurately, with citations, and only for the people allowed to see them. Software Depo builds retrieval-augmented generation over your real content: policies, contracts, manuals, tickets, and knowledge bases, wherever they live.
Retrieval Is Where RAG Succeeds or Fails
A RAG system is only as good as what it retrieves. Get chunking, indexing, and ranking wrong and the model answers from the wrong passage — confidently. We engineer the retrieval layer as carefully as the generation: how documents are split, how they are indexed, how hybrid and semantic search are combined, and how freshness is maintained as content changes.
What We Build
- Document ingestion from SharePoint, Google Drive, databases, and file stores
- Permission-aware retrieval — users only get answers from content they are allowed to see
- Chunking and indexing tuned to your document types
- Hybrid and semantic search for recall and precision
- Citations, so every answer can be verified against its source
- Freshness handling so updated documents are reflected, not cached stale
- Evaluation, including access-control leakage testing
RAG or Fine-Tuning?
For most business knowledge, RAG beats fine-tuning: it is cheaper, it stays current as documents change, and it can cite its sources. Fine-tuning has its place — for style, format, or narrow tasks — and we will tell you the rare cases where it earns its cost. Usually the answer is retrieval done well.
Security Is Not Optional
A retrieval system that ignores permissions is a data-leak waiting to happen. We enforce access controls at retrieval time and test specifically for leakage — can user A get an answer sourced from a document only user B should see? That test is part of every RAG delivery.
Tell us what knowledge should be searchable — the sources, who may see what, and the questions people need answered. We will scope a RAG system grounded in your content.