Curated

(5/5)

Chat with GitHub OpenAPI Specification using RAG (Pinecone and OpenAI)

Indexing content in the vector database This part of the workflow is responsible for extracting content, generating embeddings and sending them to the Pinecone vector store. It requests the OpenAPI specifications from GitHub using a HTTP request. Then, it splits the file in chunks, generating embeddings for each chunk using OpenAI, and saving them in Pinecone vector DB.

Integrations Used (10)

HTTP Request

Vectorstorepinecone

Documentdefaultdataloader

Textsplitterrecursivecharactertextsplitter

Workflow Structure (14 nodes)

100%

Manual Trigger

When clicking ‘Test workflow’

Http Request

HTTP Request

Langchain.embeddings Open Ai

Generate Embeddings

Langchain.vector Store Pinecone

Pinecone Vector Store

Langchain.document Default Data Loader

Default Data Loader

Langchain.text Splitter Recursive Character Text Splitter

Recursive Character Text Splitter

Langchain.chat Trigger

When chat message received

Langchain.lm Chat Open Ai

OpenAI Chat Model

Langchain.agent

AI Agent

Langchain.memory Buffer Window

Window Buffer Memory

Langchain.vector Store Pinecone

Pinecone Vector Store (Querying)

Langchain.embeddings Open Ai

Generate User Query Embedding

Langchain.tool Vector Store

Vector Store Tool

Langchain.lm Chat Open Ai

OpenAI Chat Model1

Node Types:

trigger

http

default

logic

Requires credentials

Prerequisites

Required Credentials (2)

OpenAI

Used by: OpenAI Chat Model, OpenAI Chat Model1 +2 more

Docs

Pinecone

Used by: Pinecone Vector Store, Pinecone Vector Store (Querying)

Docs

Complexity

Complex

Advanced features used. Requires n8n experience.

Setup time: ~35 min

Score: 36/100

When to Use This Workflow

AI-Powered Content Creation

Automate content generation, summarization, or analysis using AI capabilities.

Save hours of manual work while maintaining quality and consistency.

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

{
  "id": "FD0bHNaehP3LzCNN",
  "meta": {
    "instanceId": "69133932b9ba8e1ef14816d0b63297bb44feb97c19f759b5d153ff6b0c59e18d"
  },
  "name": "Chat with GitHub OpenAPI Specification using RAG (Pinecone and OpenAI)",
  "tags": [],
  "nodes": [
    {
      "id": "362cb773-7540-4753-a401-e585cdf4af8a",
      "name": "When clicking ‘Test workflow’",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        0,
        0
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
...