Build AI Agents on Go2Stream
- No credit card required
- 5-minute setup
- SOC 2 Type II certified
Build AI Agents on top of Go2Stream
Build intelligent AI Agents on top of Go2Stream, with Peliqan’s AI data foundation:
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- Go2Stream MCP Server – let Claude, ChatGPT, or any AI client query and update your Go2Stream data
- Go2Stream in n8n AI Agents – build automated workflows that reason on your data
- Go2Stream in Make – trigger AI-powered actions from your Go2Stream events
- Text-to-SQL on Go2Stream – ask questions in plain English, get SQL-powered answers
- Go2Stream RAG – semantic search with out-of-the-box embeddings (vectors)
- Go2Stream Graph RAG – traverse relationships across your data entities
- Unified 360° data – combine Go2Stream with 250+ other sources in one warehouse
Go2Stream MCP Server
Publish a Go2Stream MCP Server with full read and write capabilities.
Peliqan syncs a read-only copy of your Go2Stream data into its built-in warehouse – your AI agents query the cache, your live Go2Stream is never touched. Connect Claude, ChatGPT, or any MCP client and start querying Go2Stream in plain English.
Go2Stream in n8n
Build AI Chatbots and AI Agents in n8n that query your Go2Stream data using Text-to-SQL and perform RAG on Go2Stream documents and records.
Peliqan acts as the data layer – syncing your Go2Stream data, converting natural language to SQL, and returning results your n8n agent can act on.
Implement a “Text to SQL” chatbot on Go2Stream
Implement an AI Chatbot that answers analytical questions on Go2Stream 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 Go2Stream warehouse, and returns structured results – no SQL knowledge required.
Implement a chatbot with RAG on Go2Stream
Implement RAG (retrieval-augmented generation) on Go2Stream data with Peliqan’s out-of-the-box vector store.
Peliqan automatically creates embeddings of your Go2Stream 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 Go2Stream data with 250+ sources
Combine data from Go2Stream with 250+ other connectors in Peliqan’s built-in warehouse.
Build unified 360° views of customers, deals, products, or employees – pulling from Go2Stream, 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 Go2Stream data for AI
Access, combine, and report on data from Go2Stream 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 Go2Stream data directly. Peliqan solves this by syncing Go2Stream 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 Go2Stream 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 Go2Stream data in a single context.
How to build an AI agent for Go2Stream ?
There are different ways to build an AI agent that can query data in Go2Stream and take actions in Go2Stream. For example you can build an AI agent in n8n and use Peliqan as the data foundation. Peliqan will sync your Go2Stream 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 Go2Stream data, combined with data from 250+ other sources.
How can I use Go2Stream in n8n ?
First sign up for a free trial on Peliqan.io, next connect Go2Stream 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 Go2Stream data using Text to SQL.
How to use RAG with Go2Stream ?
There are different options to use RAG (retrieval augmented generation) in your AI Agent with Go2Stream data. One option is to create a workflow in n8n that fetches all Go2Stream 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 Go2Stream ?
Connect Go2Stream in Peliqan, then create an API handler using the built-in MCP template. Expose the Go2Stream 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 Go2Stream is never touched. The full setup takes under 10 minutes.
How do I build an AI chatbot with “Text to SQL” for Go2Stream ?
n8n is a great tool to build AI chatbots that use Text to SQL, to answer any analytical question on your Go2Stream data. Any question will be converted by the AI agent into an SQL query, which is executed by Peliqan on the Go2Stream data in the data warehouse.
How to create embeddings in a vector store for Go2Stream data ?
In order to prepare your Go2Stream 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 Go2Stream data from Peliqan and stores it in Supabase as a vector store, with embeddings created using e.g. OpenAI.
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