Claude Projects vs Custom RAG Pipelines: Picking the Right Tool
Many enterprise AI pilots start with plans for a vector database and a retrieval pipeline. Sometimes that's necessary. Sometimes a Claude Project with the right documents uploaded would deliver the same result in an afternoon.
What each option is
A Claude Project is a workspace in the Claude apps. You upload documents and instructions once, and every conversation in the project can use them. On Team and Enterprise plans, colleagues can share the project. There's nothing to host or maintain.
A custom RAG pipeline is software you build and run. It collects documents, splits them into chunks, creates embeddings, stores them in a search index, retrieves the relevant chunks for each question and sends them to Claude through the API.
Choose a Project when
- The users are your own staff and they already use Claude.
- The set of documents is fairly small and doesn't change often.
- Everyone with access to the project is allowed to see every document in it.
- You need something useful quickly and aren't yet sure the use case will last.
A Project is also a cheap way to confirm that people really want to ask questions about these documents before you commit engineering time.
Choose a custom pipeline when
- The feature is part of your product and customers use it through your interface.
- There are many documents, they change often or they're spread across systems such as SharePoint, Confluence and databases.
- Different users must see different documents when they ask the same question.
- You need citations, audit logs, evaluations and control over how retrieval works.
- Response time, cost and scale have to meet specific targets.
Using both
Many teams start with a Project to see which questions people ask and which documents matter. They then build a pipeline only for the workflows that proved useful. The Project effectively does the requirements gathering.
Before building document ingestion yourself, check which connectors your Claude plan includes. Connecting to the systems where documents already live may cover much of the need.
Questions to answer first
- Who will use this, and where do they work?
- Do different users need different permissions?
- How many documents are there, and how often do they change?
- What happens if an answer is wrong, and how will you find out?
If the users are your own team and everyone may see everything, start with a Project. You'll learn what people ask before you commit to building anything.