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Build AI Agents on MS Business Central Custom API (Client Cred

Build intelligent AI Agents on top of MS Business Central Custom API (Client Cred with Peliqan, the leading data foundation for the Agentic AI world.

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Let AI do the work for you

Build AI Agents on top of MS Business Central Custom API (Client Cred

Build intelligent AI Agents on top of MS Business Central Custom API (Client Cred, with Peliqan’s AI data foundation:

  • MS Business Central Custom API (Client Cred MCP Server
  • MS Business Central Custom API (Client Cred in n8n AI Agents
  • MS Business Central Custom API (Client Cred in Make
  • “Text to SQL” on MS Business Central Custom API (Client Cred data
  • MS Business Central Custom API (Client Cred RAG with out-of-the-box embeddings (vectors)
  • MS Business Central Custom API (Client Cred Graph RAG
  • Query unified 360° data combining MS Business Central Custom API (Client Cred and other data

Publish Data APIs

MS Business Central Custom API (Client Cred MCP Server

Publish a MS Business Central Custom API (Client Cred MCP Server to query data from MS Business Central Custom API (Client Cred and to take actions in MS Business Central Custom API (Client Cred such as doing updates and adding new data in MS Business Central Custom API (Client Cred.

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Peliqan n8n AI Agents RAG and Text To SQL

MS Business Central Custom API (Client Cred in n8n

Build AI Chatbots and AI Agents in n8n that can perform “Text to SQL” to query MS Business Central Custom API (Client Cred data and perform RAG and Graph RAG on information from MS Business Central Custom API (Client Cred.

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Let AI do the work for you

Implement a “Text to SQL” chatbot on MS Business Central Custom API (Client Cred

Implement an AI Chatbot that can answer analytical data questions on MS Business Central Custom API (Client Cred data using “Text to SQL”. 

Spreadsheet BI for business users

Implement a chatbot with RAG on MS Business Central Custom API (Client Cred

Implement RAG (retrieval-augmented generation) on MS Business Central Custom API (Client Cred data with an out-of-the-box vector store (embeddings) of all business entities and other information in MS Business Central Custom API (Client Cred.

Combine MS Business Central Custom API (Client Cred data with 250+ other sources and build 360° views

Combine data from MS Business Central Custom API (Client Cred 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 MS Business Central Custom API (Client Cred data for AI

Access, combine, and report on data from MS Business Central Custom API (Client Cred and all your SaaS apps instantly.

Gain valuable insights by bringing all your business data together in one place within minutes.

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Spreadsheet BI for business users

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Frequently asked questions

Peliqan is an all-in-one data platform with 250+ data connectors (ERP, CRM, Accounting, ATS/HRM, cloud storage etc.) – including MS Business Central Custom API (Client Cred – and a built-in data warehouse. Peliqan allows you to unleash, prepare and combine your MS Business Central Custom API (Client Cred data for AI, including relational & non-relational data. Peliqan turns your MS Business Central Custom API (Client Cred 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 MS Business Central Custom API (Client Cred data. Use Peliqan to expose any MS Business Central Custom API (Client Cred 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 MS Business Central Custom API (Client Cred and take actions in MS Business Central Custom API (Client Cred. For example you can build an AI agent in n8n and use Peliqan as the data foundation. Peliqan will sync your MS Business Central Custom API (Client Cred 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 MS Business Central Custom API (Client Cred data, combined with data from 250+ other sources.

First sign up for a free trial on Peliqan.io, next connect MS Business Central Custom API (Client Cred 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 MS Business Central Custom API (Client Cred data using Text to SQL.

There are different options to use RAG (retrieval augmented generation) in your AI Agent with MS Business Central Custom API (Client Cred data. One option is to create a workflow in n8n that fetches all MS Business Central Custom API (Client Cred 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 MS Business Central Custom API (Client Cred 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 MS Business Central Custom API (Client Cred data. Any question will be converted by the AI agent into an SQL query, which is executed by Peliqan on the MS Business Central Custom API (Client Cred data in the data warehouse.

In order to prepare your MS Business Central Custom API (Client Cred 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 MS Business Central Custom API (Client Cred data from Peliqan and stores it in Supabase as a vector store, with embeddings created using e.g. OpenAI.