lobechat

Access LobeChat for AI chat, RAG knowledge queries, and multi-model routing.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/bullish0x/paas-ai-stack --skill lobechat
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lobechat
Source: https://github.com/bullish0x/paas-ai-stack/tree/main/skills/lobechat
Command: npx skills add https://github.com/bullish0x/paas-ai-stack --skill lobechat

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Access LobeChat for AI chat, knowledge base queries (RAG), and multi-model routing across providers, streamlining conversations and information retrieval.

Core Features & Use Cases

  • AI chat interface: Interact with LobeChat to obtain answers, maintain context, and route prompts to multiple providers.
  • RAG knowledge base: Perform semantic search over documents using embeddings to retrieve relevant information.
  • Multi-model routing: Leverage 40+ model providers for task-specific reasoning, coding, or image tasks to optimize results and cost.
  • Vision and image generation: Utilize image generation and vision capabilities via integrated providers (e.g., DALL-E 3) as needed.

Quick Start

Open the LobeChat UI at your LOBE_URL or send a query to the internal API to begin a conversation.

Frequently Asked Questions about lobechat

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up multi-model routing for AI chat across different providers?

Multi-model routing across 40+ providers is handled by sending prompts to the internal API, which dynamically directs tasks to the optimal model for specific reasoning or coding requirements.

Can I perform RAG knowledge base queries over my own documents?

Yes, RAG knowledge base queries perform semantic search over documents using embeddings to retrieve relevant information directly through the internal API or chat interface.

Do I need specific internal service endpoints to use the LobeChat API?

Yes, operating requires active internal service endpoints like lobe-chat:3210, lobe-casdoor:8000, lobe-minio:9000, and lobe-postgres:5432, alongside a configured LOBE_URL environment variable.

What is the best way to integrate image generation into a conversational AI workflow?

Image generation is integrated directly into the conversational workflow by routing requests to vision and image generation providers like DALL-E 3 through the unified chat interface.

Does this approach support maintaining conversation context for complex knowledge retrieval?

Yes, the AI chat interface maintains context across interactions, streamlining conversations and ensuring continuous semantic search retrieval for complex knowledge-base queries.