Build AI Agents on IMAP
Build intelligent AI Agents on top of IMAP with Peliqan, the leading data foundation for the Agentic AI world.
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- 5-minute setup
- SOC 2 Type II certified
Build AI Agents on top of IMAP
Build intelligent AI Agents on top of IMAP, with Peliqan’s AI data foundation:
- IMAP MCP Server
- IMAP in n8n AI Agents
- IMAP in Make
- “Text to SQL” on IMAP data
- IMAP RAG with out-of-the-box embeddings (vectors)
- IMAP Graph RAG
- Query unified 360° data combining IMAP and other data
IMAP MCP Server
Publish a IMAP MCP Server to query data from IMAP and to take actions in IMAP such as doing updates and adding new data in IMAP.
IMAP in n8n
Build AI Chatbots and AI Agents in n8n that can perform “Text to SQL” to query IMAP data and perform RAG and Graph RAG on information from IMAP.
Implement a “Text to SQL” chatbot on IMAP
Implement an AI Chatbot that can answer analytical data questions on IMAP data using “Text to SQL”.
Implement a chatbot with RAG on IMAP
Implement RAG (retrieval-augmented generation) on IMAP data with an out-of-the-box vector store (embeddings) of all business entities and other information in IMAP.
Combine IMAP data with 250+ sources
Combine data from IMAP with data from 250+ other connectors, and build 360° views of business entities such as customers, leads, products, employees etc.
Feed unified 360° data models to your AI Agents with RAG and “Text to SQL”. Allow your AI Agents to access all business data in one uniform data model.
Prepare your IMAP data for AI
Access, combine, and report on data from IMAP and all your SaaS apps instantly. Gain valuable insights by bringing all your business data together in one place within minutes.
Unify, Automate & Activate Your Data
Connect all your SaaS apps, databases, and spreadsheets into one workspace. Build automations, analytics pipelines, and data apps — all in one place.
Frequently Asked Questions
Why do I need Peliqan for my AI ?
Peliqan is an all-in-one data platform with 250+ data connectors (ERP, CRM, Accounting, ATS/HRM, cloud storage etc.) – including IMAP – and a built-in data warehouse. Peliqan allows you to unleash, prepare and combine your IMAP data for AI, including relational & non-relational data. Peliqan turns your IMAP data into 360° views that can be used in AI Agents built in n8n, Make, langChain, langGraph or any other framework. Use Peliqan to create embeddings, store them in a vector store so that your AI chatbots can use RAG and Graph RAG, combined with Text-to-SQL for analytical reasoning. Peliqan is the only platform that allows your AI Agents to combine RAG and Text-to-SQL to apply deep reasoning on your IMAP data. Use Peliqan to expose any IMAP as an MCP server to query data and to take actions.
How to build an AI agent for IMAP ?
There are different ways to build an AI agent that can query data in IMAP and take actions in IMAP. For example you can build an AI agent in n8n and use Peliqan as the data foundation. Peliqan will sync your IMAP data to its built-in data warehouse and allow the AI Agent to perform “Text to SQL” and RAG to answer questions and to perform reasoning on IMAP data, combined with data from 250+ other sources.
How can I use IMAP in n8n ?
First sign up for a free trial on Peliqan.io, next connect IMAP in Peliqan. Once that is done, create an AI agent in n8n and use the Peliqan n8n node in your worflow. Add Peliqan as a “tool” to your AI Agent node, so that the AI agent can query your IMAP data using Text to SQL.
How to use RAG with IMAP ?
There are different options to use RAG (retrieval augmented generation) in your AI Agent with IMAP data. One option is to create a workflow in n8n that fetches all IMAP data from Peliqan and stores it in Supabase as a vector store, with embeddings created using e.g. OpenAI.
How to build an MCP Server for IMAP ?
In Peliqan, you can set up API endpoints and expose them as MCP Server. In the API endpoint handler script, you can configure actions to be taken in IMAP such as querying data, doing lookups, adding new items or performing updates.
How do I build an AI chatbot with “Text to SQL” for IMAP ?
n8n is a great tool to build AI chatbots that use Text to SQL, to answer any analytical question on your IMAP data. Any question will be converted by the AI agent into an SQL query, which is executed by Peliqan on the IMAP data in the data warehouse.
How to create embeddings in a vector store for IMAP data ?
In order to prepare your IMAP data for RAG, you need to create embeddings and store them in a vector store. This can be done by creating a workflow in n8n that fetches all IMAP data from Peliqan and stores it in Supabase as a vector store, with embeddings created using e.g. OpenAI.
All-in-one Data Platform
Built-in data warehouse, superior data activation capabilities, and AI-powered development assistance.
Peliqan is secure
Here’s why founders, CIOs, and their IT teams trust us with their data.
SOC 2 Type 2 validates our security controls, ensuring your data is protected by independently audited security measures.
ISO 27001 certification (in progress) ensures enterprise-grade information security, protecting your business with globally recognized standards.
GDPR compliance guarantees EU data protection compliance, keeping PII data secure within EU boundaries.