Build intelligent AI Agents on top of OpusFlow, with Peliqan’s AI data foundation:
Publish a OpusFlow MCP Server with full read and write capabilities.
Peliqan syncs a read-only copy of your OpusFlow data into its built-in warehouse – your AI agents query the cache, your live OpusFlow is never touched. Connect Claude, ChatGPT, or any MCP client and start querying OpusFlow in plain English.
Build AI Chatbots and AI Agents in n8n that query your OpusFlow data using Text-to-SQL and perform RAG on OpusFlow documents and records.
Peliqan acts as the data layer – syncing your OpusFlow data, converting natural language to SQL, and returning results your n8n agent can act on.
Implement an AI Chatbot that answers analytical questions on OpusFlow data using Text-to-SQL.
Ask “what were my top 10 customers last quarter?” or “which deals are stalled?” and get instant, accurate answers.
Peliqan converts your question to SQL, runs it against your OpusFlow warehouse, and returns structured results – no SQL knowledge required.
Implement RAG (retrieval-augmented generation) on OpusFlow data with Peliqan’s out-of-the-box vector store.
Peliqan automatically creates embeddings of your OpusFlow records, notes, and documents – so your AI agents can search semantically, not just by keywords.
Combine RAG with Text-to-SQL for AI that can both reason on numbers and understand context.
Combine data from OpusFlow with 250+ other connectors in Peliqan’s built-in warehouse.
Build unified 360° views of customers, deals, products, or employees – pulling from OpusFlow, your CRM, ERP, HR systems, and more.
Feed these unified data models to your AI Agents so they can answer cross-functional questions in a single query.
Access, combine, and report on data from OpusFlow and all your SaaS apps instantly. Gain valuable insights by bringing all your business data together in one place within minutes.
Connect all your SaaS apps, databases, and spreadsheets into one workspace. Build automations, analytics pipelines, and data apps — all in one place.
Most AI tools can’t access your OpusFlow data directly. Peliqan solves this by syncing OpusFlow into a built-in data warehouse and exposing it through MCP, Text-to-SQL, and RAG.
Your AI agents get governed, real-time access to OpusFlow data combined with 250+ other sources – without building custom integrations.
Peliqan is the only platform that lets AI agents combine structured SQL queries with semantic RAG search on OpusFlow data in a single context.
There are different ways to build an AI agent that can query data in OpusFlow and take actions in OpusFlow. For example you can build an AI agent in n8n and use Peliqan as the data foundation. Peliqan will sync your OpusFlow 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 OpusFlow data, combined with data from 250+ other sources.
First sign up for a free trial on Peliqan.io, next connect OpusFlow 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 OpusFlow data using Text to SQL.
There are different options to use RAG (retrieval augmented generation) in your AI Agent with OpusFlow data. One option is to create a workflow in n8n that fetches all OpusFlow data from Peliqan and stores it in Supabase as a vector store, with embeddings created using e.g. OpenAI.
Connect OpusFlow in Peliqan, then create an API handler using the built-in MCP template. Expose the OpusFlow tables and actions your AI needs, set role-based permissions, and run pip install mcp-server-peliqan to connect Claude or ChatGPT. Your AI agents query a cached copy of your data – your live OpusFlow is never touched. The full setup takes under 10 minutes.
n8n is a great tool to build AI chatbots that use Text to SQL, to answer any analytical question on your OpusFlow data. Any question will be converted by the AI agent into an SQL query, which is executed by Peliqan on the OpusFlow data in the data warehouse.
In order to prepare your OpusFlow 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 OpusFlow data from Peliqan and stores it in Supabase as a vector store, with embeddings created using e.g. OpenAI.
Built-in data warehouse, superior data activation capabilities, and AI-powered development assistance.
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 2 validates our security controls, ensuring your data is protected by independently audited security measures.
ISO 27001 certification 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.