Give every Make scenario structured access to your AI brain
> AgentBrains Make Integration
> One connection. All your AgentBrains data
> Navigate your knowledge structure
> Why AgentBrains Make vs. Webhooks
> Workflow samples
AgentBrains Make Integration
Build production-ready automations in Make with structured knowledge, semantic retrieval, image lookup, company context, and employee configuration from AgentBrains.
Make is great for building scenarios, connecting business apps, and orchestrating workflow logic — but AI workflows need more than simple app-to-app automation. They need accurate knowledge access, clean retrieval outputs, dynamic selection of knowledge-base records, and a safe way to use structured company data inside downstream steps.
The AgentBrains Make integration gives your scenarios direct access to your AgentBrains Knowledge Base, RAG indexes, categories, images, employees, and company profile — without manually wiring headers, IDs, or raw API requests.
One connection. All your AgentBrains data
Retrieve Text from RAG
Use AgentBrains RAG retrieval directly inside Make. When a scenario needs to answer a broad question, summarize product documentation, search manuals, or gather company-specific context, the Retrieve Text from RAG module searches your selected AgentBrains index and returns the most relevant text results. You can choose between the Core Text Index and custom indexes configured in AgentBrains. Custom indexes are selectable through a dropdown, so builders do not need to copy index IDs manually.
Customer support responses
AI prompt enrichment
Product and policy lookup
Knowledge-base powered email, chat, or CRM automations
Make AI Agent tools
Retrieve Images from RAG
AgentBrains can retrieve relevant images from your image index using semantic search. Instead of searching by filename, your Make scenario can ask for images by meaning, label, product, diagram type, or visual content. The module returns matching image records that can be used in emails, chat replies, documentation workflows, or internal review processes
Product image lookup
Instructional diagrams
Visual troubleshooting workflows
Marketing and article generation
Sending relevant image links into downstream apps
Knowledge Base Entities
Sometimes you do not want broad semantic search. You want the exact document, product sheet, policy, manual, or structured record. The AgentBrains Make integration includes modules for listing entities, retrieving a single entity, and filtering entities by category or category type.
Product catalogs
Manuals and technical documents
Structured policy lookup
Retrieving exact source records
Clean entity data into AI or business apps
Navigate your knowledge structure
Five more actions give your Make structure and context — without copying IDs or alias keys.
Categories and Category Types
AgentBrains categories help organize your knowledge base into usable groups. The Make integration includes modules for listing categories, retrieving a single category, and listing category groups by type.
Images & Attachments
Use Get an image when you already know the attachment or image ID. This is the recommended exact-lookup companion to image RAG retrieval. Some attachment collections can be large, so the safer workflow is: Retrieve Images from RAG → Get an image This keeps Make output clean and avoids unnecessary large payloads
Employee Configuration
The Get an employee configuration module retrieves an AgentBrains employee configuration by employee ID. Employee selection is powered by a dropdown, so scenario builders do not need to copy employee IDs manually.
Company Data
The Get Company Data module retrieves company information for the authenticated AgentBrains tenant. Use it when a scenario needs consistent business context, brand information, company details, or tenant-level metadata.
Relationship Types
The List many relationship types module lists the available relationship types in your AgentBrains knowledge base. Use it when you are building more advanced knowledge workflows that depend on how entities are connected.
Why AgentBrains Make vs. Webhooks
Less setup, safer integrations, cleaner outputs
Workflow samples
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Website Assistant
A single AI Agent handles inbound support questions end to end, using Retrieve Text from RAG and Retrieve Images from RAG as its tools to ground every answer in your knowledge base. When the agent flags a relevant image, the scenario calls Get an image to resolve the exact, verified attachment before responding.
Product Knowledge Enrichment
A deterministic, no-AI workflow for keeping product records accurate. It validates that the incoming request has a usable lookup key, then looks up the exact entity by SKU, category, or search term and returns clean structured data ready to enrich a CRM record.
Sales Agent Context Flow
Let one scenario act as any of your configured AgentBrains employees. It pulls the employee’s live configuration and company data at request time, then grounds the agent’s reply with Retrieve Text from RAG, so tone and behavior stay on-brand without hardcoding a persona into the scenario.
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Knowledge Base Explorer
A multi-action admin utility for exploring and testing your AgentBrains connection. One webhook with a single action field routes to category, relationship-type, or attachment lookups, so you can inspect your knowledge base structure without building a separate scenario for each.
Upgrade your Make workflows
Stop wiring raw HTTP requests for every automation. Connect AgentBrains once, choose the module you need, and give your Make scenarios structured access to the same knowledge, retrieval, and configuration layer your AI workforce already uses.