10decodersYour answers are already written down.
They're just impossible to find.
Most of what your team needs already lives in your documents, tickets, and wikis. We build a Retrieval-Augmented Generation knowledge base that reads all of it and answers in plain language, with a citation back to the source. Run it on its own, or inside Microsoft Copilot, Salesforce, or Shopify.
Trusted by leading enterprises and healthcare teams
Static documents are where knowledge goes to sit.
A search box that matches keywords will find a document. It won't read forty of them and give you the answer. So people ask a colleague, wait, or guess. Here is where that shows up.
The answer exists, nobody can reach it
Policies, contracts, past tickets and specs are spread across drives and tools. Finding the right passage means knowing where to look first.
Experts become the search engine
When search fails, people interrupt whoever knows. That person becomes a bottleneck, and their knowledge never gets written down for the next person.
New hires take months to get useful
Onboarding is mostly learning where things are kept and who to ask. A knowledge layer answers those questions on day one instead of month three.
A knowledge base that reads, then answers.
Retrieval-Augmented Generation does two jobs. It retrieves the passages that actually relate to a question, then it writes an answer grounded only in those passages, with a link back to the source so anyone can check the work. Nothing invented, nothing from outside your walls.
Connect your sources
Documents, wikis, ticket history, databases, and shared drives. We meet the content where it already lives.
Structure and index
We clean and chunk the content, then build a searchable index so retrieval returns the right passage, not the closest keyword.
Answer with citations
Ask a question in plain language. The system pulls the relevant sources and drafts a grounded answer you can trace back.
Deploy where people work
Ship it as a standalone co-pilot or embed it inside the tools your team already opens every day.
Everything the pilot needs to reach production.
A Foundation engagement isn't a demo you have to productionize later. It ships with the pieces that make a knowledge base safe to put in front of real users.
Source connectors
Ingestion from your drives, wikis, ticketing, and databases, with a repeatable pipeline for new content.
Data cleanup and structuring
We deduplicate, chunk, and tag content so retrieval stays accurate as the corpus grows.
Retrieval and grounding layer
The core RAG engine that pulls relevant passages and keeps every answer tied to a citation.
Access controls
Permissions follow your existing rules, so people only get answers from content they're allowed to see.
Deployment into your tools
A standalone co-pilot, or an embed inside Copilot, Salesforce, Shopify, or an internal app.
Evaluation and handover
We test answer quality against real questions, then hand over documentation your team can run with.
Same engine, different jobs.
A grounded knowledge layer pays off anywhere people burn time searching. These are the starting points we see most, including in the regulated industries we work in.
Answer desk for agents
Front-line teams get a cited answer from your product docs and past tickets instead of escalating or guessing. Faster resolution, fewer repeat questions.
Clinical and policy lookup
Staff query protocols, coverage rules, and prior documentation in plain language, with the source attached so the answer can be verified before it's used.
Policy, contract & compliance search
Analysts pull the right clause from long agreements and policy libraries in seconds, with a citation for the audit trail.
Onboarding co-pilot
New hires ask the knowledge base instead of interrupting a senior colleague, and get answers grounded in your real documents from day one.
Standalone, or inside the tools you already run.
You don't have to move your data or replace a platform to get value from it. We deploy the knowledge layer on its own, or wire it into the systems your team lives in.
The three questions every team asks first.
A knowledge base only gets used if people trust the answers and security signs off. We design for both from the start.
Grounded, with citations
Answers are built only from retrieved passages, and each one links back to its source. If the content isn't there, the system says so instead of inventing an answer.
Deployed into your environment
We architect deployments to keep your content inside your own environment and honor your access rules. Deployed onto dedicated enterprise cloud instances.
Permissions you already have
Retrieval respects your existing access controls, so an answer never surfaces content the person asking isn't cleared to read.
Time back, and answers people trust.
The point of a knowledge base is a shorter path from question to answer, measured in hours saved and questions that no longer land on a person's desk.
Built by a team enterprises already trust.
Our engineers have shipped AI and platform work referenced by names your board will recognize, in regulated industries where a wrong answer has consequences.
Before you book the call.
Common questions about Retrieval-Augmented Generation (RAG), document ingestion, security, and setup timelines.
