Overview
Knowledge tools let your persona search uploaded documents and use retrieved passages in its answers through Retrieval-Augmented Generation (RAG). Instead of relying only on the LLM’s training data, your persona can access your organization’s specific documentation, policies, and knowledge base. Use this guide to connect your uploaded documents to a persona. Before selecting folders, check the knowledge scope for its audience. Every document in the selected folders should be appropriate for that persona.Prerequisites
Before creating knowledge tools, you need:- Knowledge folders created (see Set up your knowledge base)
- Documents uploaded and in READY status
- Basic understanding of RAG concepts (see Knowledge overview)
Creating a knowledge tool
Knowledge tools are saved to your organization’s tool library, so one tool can be attached to several personas.The quickest path
The first time you upload documents to a persona, Anam creates the knowledge tool for you. On the Prompt tab, open the Knowledge card and select Upload documents. Once the upload finishes, a tool named after the persona is created, pointed at the new folder, and attached to the persona draft. Select Publish before creating a session with this persona’spersonaId — until you do, those sessions run with the persona’s previously published tools. See when you need to publish.
You only need the steps below to control the tool’s name, its description, or which folders it searches.
Creating one yourself
1
Open the tool editor
Go to the Tools tab in Anam Lab and select Add tool.The menu offers Client tool and Server tool — there is no knowledge entry, so pick either one and change the type in the next step.
2
Set the type to Knowledge
In the editor, set Type to Knowledge, then fill in:
- Name:
search_product_docs(snake_case) - Instructions: when the persona should search — this is what the model reads to decide
- Knowledge folders: select every folder this tool may search
3
Save and publish
Select Create tool, then Publish the persona.
The tool is saved to your tool library with a unique ID, and publishing makes it available to sessions created with this persona’s
personaId.4
Use in session
Create a session using the persona ID:
Write the instructions
When deciding whether to call a knowledge tool, the model sees the tool’s instructions but not its folders, filenames, or document contents. Write instructions that tell the model when to search. The field is labeled Instructions in the Lab anddescription in the API, and it holds up to 1024 characters.
Name the subjects your folders actually cover, in the words a user would use, and say when not to search.
Example
Don’t: “Search the knowledge base for relevant information.”
Do: “Search product documentation and billing FAQs for questions about product features, installation steps, pricing tiers, invoices, and refunds. Do not use it for a customer’s own account details, such as their current balance or open tickets.”
The first does not tell the model which questions match the tool. The second helps it recognize a billing question as something these folders can answer and a balance inquiry as something they cannot.
For naming conventions shared by all tool types, see Write clear descriptions. To tell the persona how to handle results and failures, see Tool calling definitions.
How many tools
Start with one tool covering the folders a persona needs, and split it only when the model has to choose between clearly different bodies of knowledge — product documentation versus billing policies, say. A separate tool per folder gives the model a sharper choice; a single tool over related folders keeps that choice simple. Group folders the same way you scoped them in the first place.When you need to publish
Attaching a tool changes the persona, and persona changes are staged as a draft until you publish. Uploading documents does not change the persona draft, so it does not require publishing.How knowledge tools work
When the AI needs information to answer a question, it uses a knowledge tool to search your documents.1
User asks a question
User: “How do I authenticate API requests?”
2
AI decides to search
The AI determines the question requires information from your documentation and automatically formulates a search query.
The AI looks for the semantic meaning behind the user’s question, not just literal keywords.
3
System finds relevant content
The system searches the folders associated with the tool and retrieves the most relevant snippets from your documents.
4
AI generates a response
The AI uses the retrieved information to compose an answer.“To authenticate API requests, you’ll need to include your API key in the Authorization header like this:
Authorization: Bearer <your API key>. You can get an API key from your dashboard.”The user receives an answer grounded in your specific documentation.
Monitoring knowledge tool calls
Knowledge tool calls emit lifecycle events on the client that you can use for logging or analytics. UsetoolType and toolSubtype to filter for knowledge-specific events:
Test the connection
Start a fresh session and ask a question that requires your uploaded reference material. Check that the intended knowledge tool runs, then follow Test your knowledge base to inspect passages and evaluate the answer, including exceptions and missing details. When replacing a folder, check every knowledge tool attached to the persona so that another tool does not retain access to the old material. See Replace an existing document.Next steps
Set up your knowledge base
Create folders and upload documents
Client Tools
Trigger UI actions with client tools
Webhook Tools
Integrate external APIs
API Reference
Complete API documentation

