Chat with GitHub issues using OpenAI and Redis vector search

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Chat with Your GitHub Issues Using AI Ever wanted to just ask your repository what's going on instead of scrolling through endless issue lists? This workflow lets you do exactly that. What Does ...

Best for

Internal Wiki automation workflows
AI RAG automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, @n8n/n8n-nodes-langchain.embeddingsopenai, @n8n/n8n-nodes-langchain.documentdefaultdataloader, @n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.memoryredischat, n8n-nodes-base.stickynote, n8n-nodes-base.httprequest

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Tihomir Mateev.

Original n8n.io source

1.1 Workflow description

Title: Chat with GitHub issues using OpenAI and Redis vector search
Workflow name: Chat with GitHub issues using OpenAI and Redis vector search

Chat with Your GitHub Issues Using AI 🤖

Ever wanted to just ask your repository what's going on instead of scrolling through endless issue lists? This workflow lets you do exactly that.

What Does It Do?

Turn any GitHub repo into a conversational knowledge base. Ask questions in plain English, get smart answers powered by AI and vector search.

"Show me recent authentication bugs" → AI finds and explains them
"What issues are blocking the release?" → Instant context-aware answers
"Are there any similar problems to #247?" → Semantic search finds connections you'd miss

The Magic ✨

Slurp up issues from your GitHub repo (with all the metadata goodness)
Vectorize everything using OpenAI embeddings and store in Redis
Chat naturally with an AI agent that searches your issue database
Get smart answers with full conversation memory

Quick Start

You'll need:

OpenAI API key (for the AI brain)
Redis 8.x (for vector search magic)
GitHub repo URL (optional: API token for speed)

Get it running:

Drop in your credentials
Point it at your repo (edit the owner and repository params)
Run the ingestion flow once to populate the database
Start chatting!

Tinker Away 🔧

This is your playground. Here are some ideas:

Swap the data source: Jira tickets? Linear issues? Notion docs? Go wild.
Change the AI model: Try different GPT models or even local LLMs
Add custom filters: Filter by labels, assignees, or whatever matters to you
Tune the search: Adjust how many results come back, tweak relevance scores
Make it public: Share the chat interface with your team or users
Auto-update: Hook it up to webhooks for real-time issue indexing

Built with n8n, Redis, and OpenAI. No vendor lock-in, fully hackable, 100% yours to customize.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - When clicking ‘Execute workflow’

Type / Role: n8n-nodes-base.manualTrigger - manualTrigger
Config choices: Version 1

Block 2 - Embeddings OpenAI

Type / Role: @n8n/n8n-nodes-langchain.embeddingsOpenAi - embeddingsOpenAi
Config choices: Version 1.2

Block 3 - Default Data Loader

Type / Role: @n8n/n8n-nodes-langchain.documentDefaultDataLoader - documentDefaultDataLoader
Config choices: Version 1.1

Block 4 - When chat message received

Type / Role: @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices: Version 1.4

Block 5 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Block 6 - Redis Chat Memory

Type / Role: @n8n/n8n-nodes-langchain.memoryRedisChat - memoryRedisChat
Config choices: Version 1.5

Block 7 - Embeddings OpenAI1

Type / Role: @n8n/n8n-nodes-langchain.embeddingsOpenAi - embeddingsOpenAi
Config choices: Version 1.2

Block 8 - Sticky Note6

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 9 - Sticky Note7

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 10 - Sticky Note8

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 11 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 12 - Fetch issues from GitHub

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 13 - Vectorize and store in Redis

Type / Role: @n8n/n8n-nodes-langchain.vectorStoreRedis - vectorStoreRedis
Config choices: Version 1.3

Block 14 - AI Agent using RAG

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3

Block 15 - Augment with results from Redis

Type / Role: @n8n/n8n-nodes-langchain.vectorStoreRedis - vectorStoreRedis
Config choices: Version 1.3

3. Summary Table

Workflow	Chat with GitHub issues using OpenAI and Redis vector search
Complexity	advanced
Nodes	15
Categories	Internal Wiki, AI RAG
Author	Tihomir Mateev
Published	14 Nov 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/10837/10837.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Internal Wiki workflows AI RAG workflows

Frequently asked questions

What does Chat with GitHub issues using OpenAI and Redis vector search do?

Chat with Your GitHub Issues Using AI Ever wanted to just ask your repository what's going on instead of scrolling through endless issue lists? This workflow lets you do exactly that. What Does ...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Internal Wiki, AI RAG use case.

Tihomir Mateev

2 workflows

Nodes

n8n-nodes-base.manualtrigger @n8n/n8n-nodes-langchain.embeddingsopenai @n8n/n8n-nodes-langchain.documentdefaultdataloader @n8n/n8n-nodes-langchain.chattrigger @n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.memoryredischat n8n-nodes-base.stickynote n8n-nodes-base.httprequest

Complexity

advanced

Published 14 Nov 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/10837/10837.json

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Chat with GitHub issues using OpenAI and Redis vector search

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Chat with Your GitHub Issues Using AI 🤖

What Does It Do?

The Magic ✨

Quick Start

Tinker Away 🔧

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - When clicking ‘Execute workflow’

Block 2 - Embeddings OpenAI

Block 3 - Default Data Loader

Block 4 - When chat message received

Block 5 - OpenAI Chat Model

Block 6 - Redis Chat Memory

Block 7 - Embeddings OpenAI1

Block 8 - Sticky Note6

Block 9 - Sticky Note7

Block 10 - Sticky Note8

Block 11 - Sticky Note

Block 12 - Fetch issues from GitHub

Block 13 - Vectorize and store in Redis

Block 14 - AI Agent using RAG

Block 15 - Augment with results from Redis

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions