Build AI Agents on Adsolut cloud
Build intelligent AI Agents on top of Adsolut cloud with Peliqan. Query your data in plain English, automate workflows with AI, and write changes back – all through a single platform with 300+ connectors and a built-in data warehouse.
- No credit card required
- 5-minute setup
- SOC 2 Type II certified
Build AI Agents on top of Adsolut cloud
Build intelligent AI Agents on top of Adsolut cloud, with Peliqan’s AI data foundation:
-
- Adsolut cloud MCP Server – let Claude, ChatGPT, or any AI client query and update your Adsolut cloud data
- Adsolut cloud in n8n AI Agents – build automated workflows that reason on your data
- Adsolut cloud in Make – trigger AI-powered actions from your Adsolut cloud events
- Text-to-SQL on Adsolut cloud – ask questions in plain English, get SQL-powered answers
- Adsolut cloud RAG – semantic search with out-of-the-box embeddings (vectors)
- Adsolut cloud Graph RAG – traverse relationships across your data entities
- Unified 360° data – combine Adsolut cloud with 250+ other sources in one warehouse
Adsolut cloud MCP Server
Publish a Adsolut cloud MCP Server with full read and write capabilities.
Peliqan syncs a read-only copy of your Adsolut cloud data into its built-in warehouse – your AI agents query the cache, your live Adsolut cloud is never touched. Connect Claude, ChatGPT, or any MCP client and start querying Adsolut cloud in plain English.
Adsolut cloud in n8n
Build AI Chatbots and AI Agents in n8n that query your Adsolut cloud data using Text-to-SQL and perform RAG on Adsolut cloud documents and records.
Peliqan acts as the data layer – syncing your Adsolut cloud data, converting natural language to SQL, and returning results your n8n agent can act on.
Implement a “Text to SQL” chatbot on Adsolut cloud
Implement an AI Chatbot that answers analytical questions on Adsolut cloud 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 Adsolut cloud warehouse, and returns structured results – no SQL knowledge required.
Implement a chatbot with RAG on Adsolut cloud
Implement RAG (retrieval-augmented generation) on Adsolut cloud data with Peliqan’s out-of-the-box vector store.
Peliqan automatically creates embeddings of your Adsolut cloud 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 Adsolut cloud data with 300+ sources
Combine data from Adsolut cloud with 300+ other connectors in Peliqan’s built-in warehouse.
Build unified 360° views of customers, deals, products, or employees – pulling from Adsolut cloud, 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.
Prepare your Adsolut cloud data for AI
Access, combine, and report on data from Adsolut cloud 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 ?
Most AI tools can’t access your Adsolut cloud data directly. Peliqan solves this by syncing Adsolut cloud 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 Adsolut cloud 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 Adsolut cloud data in a single context.
How to build an AI agent for Adsolut cloud ?
There are different ways to build an AI agent that can query data in Adsolut cloud and take actions in Adsolut cloud. For example you can build an AI agent in n8n and use Peliqan as the data foundation. Peliqan will sync your Adsolut cloud 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 Adsolut cloud data, combined with data from 250+ other sources.
How can I use Adsolut cloud in n8n ?
First sign up for a free trial on Peliqan.io, next connect Adsolut cloud 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 Adsolut cloud data using Text to SQL.
How to use RAG with Adsolut cloud ?
There are different options to use RAG (retrieval augmented generation) in your AI Agent with Adsolut cloud data. One option is to create a workflow in n8n that fetches all Adsolut cloud 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 Adsolut cloud ?
Connect Adsolut cloud in Peliqan, then create an API handler using the built-in MCP template. Expose the Adsolut cloud 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 Adsolut cloud is never touched. The full setup takes under 10 minutes.
How do I build an AI chatbot with “Text to SQL” for Adsolut cloud ?
n8n is a great tool to build AI chatbots that use Text to SQL, to answer any analytical question on your Adsolut cloud data. Any question will be converted by the AI agent into an SQL query, which is executed by Peliqan on the Adsolut cloud data in the data warehouse.
How to create embeddings in a vector store for Adsolut cloud data ?
In order to prepare your Adsolut cloud 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 Adsolut cloud 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.