Chat with GitHub OpenAPI Specification using RAG (Pinecone and OpenAI)
Chat with GitHub OpenAPI Specification using RAG (Pinecone and OpenAI) — free, ready-to-import n8n workflow (17 nodes, AI and LLMs).
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Workflow Intelligence
Understand this workflow before you use it.
- Partial structure
- No issues found by static checks
- Health 90/100
Workflow Intelligence
Understand this workflow before you use it.
Some connections are present in the source file, others are not. Structure-based results cover only the connected part.
This workflow starts from Manual Trigger and Chat Trigger and works with an AI agent, AI text processing, a database and retrieval from a knowledge base.
Overview
**Chat with GitHub OpenAPI Specification using RAG (Pinecone and OpenAI)**
Category: AI and LLMs · 17 nodes Nodes/integrations used: agent, chatTrigger, documentDefaultDataLoader, embeddingsOpenAi, httpRequest, lmChatOpenAi, memoryBufferWindow, textSplitterRecursiveCharacterTextSplitter
How to use: download the JSON below, then in n8n choose Import from File (or open the demo link, copy the JSON, and paste with Ctrl+V into the n8n canvas). Add your own credentials and activate.
Source: enescingoz/awesome-n8n-templates (CC-BY-4.0). Credentials were removed and files modified for redistribution — see the library's ATTRIBUTION_AND_LICENSES.md for full license text.
After you purchase
Every downloadable file is security-scanned before it becomes available to you — files stay locked until that check passes.
Delivery is via short-lived, authenticated download links issued only after your purchase is confirmed — never a public file address.
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Chat with GitHub OpenAPI Specification using RAG (Pinecone and OpenAI)
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