Skip to main content

​
Agents

An agent is your AI assistant. Each agent has its own:
  • Name and description — identifies the agent
  • System prompt — instructions that define how the agent responds (personality, rules, tone)
  • AI model — the language model used for generating responses (e.g., GPT-4o, Claude, Gemini)
  • Temperature — controls creativity vs. consistency (0.0 = very reserved, 2.0 = very creative)
  • Knowledge base — the documents, web sources, and snippets the agent draws from
You can create multiple agents, each with its own knowledge base and configuration. The number of agents you can create depends on your plan.

​
Knowledge base

The knowledge base is the content your agent uses to answer questions. There are three types of sources:

​
Documents

Upload files that the agent should learn from. Supported formats: When you upload a document, Mind-e converts it to markdown, splits it into chunks, generates embeddings, and stores them for retrieval.

​
Web sources

Add a URL and Mind-e crawls the page, extracts the content, and adds it to your agent’s knowledge base. You can also discover related pages from the same domain.

​
Text snippets

Write custom text content directly. Useful for FAQs, product descriptions, or any information not in a document or on a website.

​
RAG (Retrieval-Augmented Generation)

RAG is the process that connects your knowledge base to the AI model. Here’s what happens when a user sends a message:
1

Embed the query

The user’s message is converted into a numerical vector (embedding) using OpenAI’s text-embedding-3-large model.
2

Search the knowledge base

The embedding is compared against all chunks stored in the agent’s vector database (Pinecone). The top 20 most relevant chunks are retrieved.
3

Rerank results

The 20 results are reranked using a cross-encoder model to find the 5 most relevant chunks for the specific question.
4

Generate a response

The AI model receives the system prompt, the 5 relevant chunks as context, the conversation history, and the user’s message. It generates a response grounded in your content.

​
Query expansion

When enabled, Mind-e automatically expands short or vague queries with additional keywords before searching. This improves retrieval for brief questions like “pricing” or “how to install.” You can toggle this per agent in settings.

​
Conversations

Every chat interaction creates a conversation — a thread of messages between a user and your agent. Conversations are tracked by source:
  • Playground — testing in the dashboard
  • Widget — from the embedded chat widget on your website
  • Social media — from Instagram, WhatsApp, Telegram, or Messenger
You can view all conversations in the Chat History tab of your agent. Each message shows the agent’s response along with the source documents it referenced.

​
Credits

Credits are the currency for using Mind-e’s AI features. Every action that uses AI costs credits: New accounts receive 100 credits on signup. Paid plans include monthly credit allowances — see Plans & Pricing for details.
Model tiers: Mini includes GPT-4o Mini, Gemini Flash, Claude Haiku. Standard includes GPT-4o, GPT-4.1, Gemini Pro, Claude Sonnet, Grok 2. Premium includes GPT-5.2, Claude Opus, Grok 3.

​
Scenarios

Scenarios are interactive conversation flows you build with a visual editor. Instead of open-ended chat, scenarios guide users through a structured sequence of steps. Node types you can use in a scenario:
  • Start — entry point, triggered by keywords or intent
  • Message — sends a message to the user
  • Question — asks the user a question with validation (email, phone, number)
  • Form — collects structured data through a multi-field form
  • Delay — waits a specified duration before continuing
  • End — completes the scenario
Scenarios are triggered automatically when the AI detects matching keywords or intent in a user’s message. You can view form submissions and user responses in the Submissions tab.

​
Actions

Actions extend what your agent can do beyond answering questions:
  • Custom buttons — add clickable buttons that link to URLs in the agent’s responses
  • Custom forms — collect structured information (name, email, phone) directly in chat
  • Booking — let users schedule appointments with configurable availability, duration options, and booking forms

​
API keys

You can interact with your agents programmatically using the REST API. Create API keys in your account settings to authenticate requests. Keys can be scoped to a specific agent or work across all your agents.