AI and knowledge
A knowledge assistant with semantic search over Confluence content and answers that come with references.
A knowledge base can hold the information you need and still be hard to search. Each answer needs to stay linked to the document that supports it.
A RAG project with content ingestion, chunking, embeddings and vector search. Text or audio interaction delivers cited answers that make the documentation easier to consult.
The project works on top of the documentation itself: ingestion prepares the text, which is split into chunks and represented as embeddings. Vector search finds passages related to the question, providing context for composing the answer. This approach is known as RAG, or retrieval-augmented generation.
References keep the link between the answer and the documentation consulted. Audio input and output add another way to interact with the same knowledge. In a rollout, selecting the documents and evaluating the questions are central: how useful the search is depends on the available content and on the ability to retrieve the relevant passages.
FROM PROJECT TO OPERATIONS
Illustrative scenarios to picture how this work can be applied in a company’s day-to-day operations.
GROUP / AI and knowledge
Choose the starting point closest to your challenge. Each offer proposes a scope of work based on the experience of this project.
Who it’s for Knowledge owners who want to prepare a document collection for search.
Organize ingestion of a selected set of Confluence content, defining how documents become searchable chunks linked to their sources.
Who it’s for Teams that answer recurring questions using a body of procedures.
Build a question-and-answer experience for a well-defined domain, with context retrieval and references that let people check where the information came from.
Who it’s for Teams that want to offer spoken interaction with their internal knowledge.
Adapt documentation search to take spoken questions and give spoken answers, while keeping the text version and the ability to check sources.
We can combine offers and adapt the deliverables. Data, integrations, acceptance criteria, timeline and investment are defined in the proposal for your company.
Let’s design your scope