RAG Applications
A general AI tool answers from whatever it learned during training, which has nothing to do with your policies, your specifications or your past contracts.
Why It Matters
Before writing an answer, the application searches your document store for the passages that actually address the question. The answer is built from those passages, not from a general impression of similar topics. If nothing relevant is found, it says so.
Every answer is delivered with the exact source passage attached, so an employee can open the document and confirm it in seconds. That habit of checking is encouraged, not discouraged, because the source is always one click away.
Documents are broken into passages small enough to be precisely relevant, and indexed so a question can be matched to the right section rather than the right document. This handles PDFs, scanned pages, spreadsheets and text exports, not just clean text files.
A question is matched against the index by meaning, not just matching keywords, so a differently worded question can still find the right passage. The retrieval step is tuned and tested against real questions from your team before the application is trusted with new ones.
The model is instructed to answer only from the retrieved passages, and to say clearly when nothing relevant was found. The source passage is attached to the answer automatically, so checking it takes one click rather than a separate search.
HR policies, quality procedures and operating manuals, answered directly instead of searched by hand.
Technical specs and datasheets, answered for sales and support without waiting on engineering.
Clause-level questions on customer and supplier contracts, with the exact clause shown.
Emails and support tickets searched for how a similar case was handled before.
Scattered wiki pages and how-to documents made searchable from one place.
Standards and regulations relevant to your industry, with citations to the exact clause.
We connect to your document store and build a searchable index of the content that matters.
A question triggers a search for the passages most relevant to what was asked.
An answer is written using only the retrieved passages, not general knowledge.
The passages used are shown alongside the answer, ready to check.
Documents are re-indexed on a schedule, so updates are reflected automatically.
Answers to policy questions
Source shown every time
Interruptions to the expert
Answers across the team
As documents are updated
When the documents do not say
We design for the application to say it does not know rather than produce a fluent guess.
Every answer carries the passage it was built from, so trust is earned through checking, not asked for.
Messy PDFs, scanned pages and inconsistent formatting are the normal case, and we plan for it.
The index refreshes on a schedule, so an updated policy does not sit stale for months.
We choose the approach that fits your data and hosting rules, with no lock-in to one vendor.
RAG stands for retrieval-augmented generation. It is an application that, before answering a question, searches your own documents for the relevant passages, then writes an answer based only on what it found. Every answer comes with the source passages attached, so it can be verified.
A general chatbot answers from whatever it learned during training, which may have nothing to do with your business and cannot be traced to a source. A RAG application answers from your specific documents, and shows exactly which passage it used, so the answer is grounded and checkable.
It is built to say so rather than invent an answer. If the retrieval step finds nothing relevant, the application reports that clearly instead of guessing, which is the central design goal of a properly built RAG system.
Policy manuals, product specifications, contracts, SOPs, past correspondence and any other text-based records you hold, in the formats you already use such as PDF, Word or your document management system.
The document index is refreshed on a schedule matched to how often your source documents change, so an updated policy or specification is reflected without anyone manually rebuilding the system.
Yes. Retrieval runs against your own document store under your access rules, and hosting is chosen to fit your data policy. We build model-agnostic and do not tie your documents to one vendor's platform.
Related
The other services in this section, and related pages from TCB Infotech.
No commitment. A practical look at what your documents could answer.
