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Data foundation for AI Agents

Build intelligent AI Agents on top of your business data with Peliqan, the leading data foundation for the Agentic AI world. Combine “Text to SQL”, RAG and MCP on top of any ERP, CRM, Accounting, HRM, ATS and DB.

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Peliqan n8n AI Agents RAG and Text To SQL
Build AI Agents

Build AI Agents on top of your business data

Build intelligent AI Agents on top of your ERP, CRM, Accounting, HRM & ATS with Peliqan’s AI data foundation. Query unified 360° data combining all your business data with Text to SQL, RAG, and MCP Server capabilities.

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Text to SQL on all your data

Ask analytical questions in plain English and let AI convert them to SQL queries across all your business applications – ERP, CRM, Accounting, HRM & ATS.

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RAG & Graph RAG with embeddings

Implement retrieval-augmented generation with Peliqan’s out-of-the-box vector store and embeddings on all business entities and information from your applications.

Build an MCP Server

Publish an MCP Server to query data from any business application and to take actions such as doing updates and adding new data. Expose any SaaS business application through MCP to enable AI agents to interact with your systems.

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Query and take actions

Set up API endpoints in Peliqan and expose them as MCP Server—enable AI agents to query data, perform lookups, add new items, or perform updates in your ERP, CRM, and other applications.

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Universal business app connectivity

Connect any of 250+ supported applications through MCP, making them accessible to Claude, Cursor, and other MCP-compatible AI tools.

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Publish Data APIs
Federated query engine

Build AI agents in n8n and Make

Build AI Chatbots and AI Agents in n8n or Make that can perform Text to SQL to query your business data and perform RAG and Graph RAG on information from any source. Use Peliqan as a tool in your AI agent workflows.

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Text to SQL workflows

Add Peliqan as a “tool” to your AI Agent node in n8n—let the agent convert natural language questions into SQL queries executed on your unified data warehouse.

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Combined reasoning

Enable your AI agents to use both RAG for contextual information retrieval and Text to SQL for analytical reasoning on all your business data simultaneously.

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Let AI do the work for you

Implement "Text to SQL" chatbots

Implement an AI Chatbot that can answer analytical data questions on your business data using Text to SQL. Convert any natural language question into SQL and execute it across your unified data foundation.

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Analytical questions answered instantly

Ask complex business questions like “What were top 5 customers by revenue last quarter?” and get instant SQL-powered answers from your data warehouse.

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Natural language to SQL on any data

Query both relational data and unstructured data from Google Drive, Sharepoint, Notion, and 250+ other sources using plain English.

Connect

Combine data from 250+ sources

Combine data from 250+ connectors, and build 360° views of business entities such as customers, leads, products, employees. Feed unified 360° data models to your AI Agents with RAG and Text to SQL.

Connect to any SaaS or DB
Connect data
Transform

Prepare your data for AI

Access, combine, and report on data from all your SaaS apps instantly. Gain valuable insights by bringing all your business data together in one place within minutes.

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Transform data

Peliqan trust center

Security, compliance, trust, privacy and availability are our highest priority. If you want more details, if you require a certificate or a copy of Peliqan’s operating procedures, contact us now.

SOC 2 Type II

SOC 2 Type 2

SOC 2 Type 2 validates our security controls, ensuring your data is protected by independently audited security measures.

ISO 27001

ISO 27001

ISO 27001 certification (in progress) ensures enterprise-grade information security, protecting your business with globally recognized standards.

GDPR-compliant

GDPR

GDPR compliance guarantees EU data protection compliance, keeping PII data secure within EU boundaries.

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.) and a built-in data warehouse. Peliqan allows you to unleash, prepare and combine your {connector_name} data for AI, including relational & non-relational data. Peliqan turns your 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 all your business data. Use Peliqan to expose any SaaS business application as an MCP server to query data and to take actions.

There are different ways to build an AI agent that can query data in your business applications and take actions in those platforms.

For example you can build an AI agent in n8n and use Peliqan as the data foundation. Peliqan will sync your business 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 the data, combined with data from 250+ other sources.

First sign up for a free trial on Peliqan.io, next connect your applications in Peliqan.

Once that is done, create an AI agent in n8n and use the Peliqan n8n node in your workflow. Add Peliqan as a “tool” to your AI Agent node, so that the AI agent can query your business data using Text to SQL.

There are different options to use RAG (retrieval augmented generation) in your AI Agent. One option is to create a workflow in n8n that fetches all your data from Peliqan and stores it in Supabase as a vector store, with embeddings created using e.g. OpenAI.

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 e.g. your ERP or CRM such as querying data, doing lookups, adding new items or performing updates.

n8n is a great tool to build AI chatbots that use Text to SQL, to answer any analytical question on your business data. Any question will be converted by the AI agent into an SQL query, which is executed by Peliqan on your data in the data warehouse.

In order to prepare your 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 your data from Peliqan and stores it in Supabase as a vector store, with embeddings created using e.g. OpenAI.

Peliqan data platform

All-in-one Data Platform

Built-in data warehouse, superior data activation capabilities, and AI-powered development assistance.

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