Agent-Skills.md

Agent Skills: LangChain Retrieval Agent

AI agent with retrieval tool for document Q&A using RAG and LangGraph.

UncategorizedID: eng0ai/eng0-template-skills/langchain-retrieval-agent

Repository

eng0ai/eng0-template-skills
rebyteai-template
1

Install this agent skill to your local

pnpm dlx add-skill https://github.com/rebyteai-template/rebyte-skills/tree/HEAD/langchain-retrieval-agent

Skill Files

Browse the full folder contents for langchain-retrieval-agent.

Download Skill

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langchain-retrieval-agent/SKILL.md

Skill Metadata

Name
langchain-retrieval-agent
Description
AI agent with retrieval tool for document Q&A using RAG and LangGraph.

LangChain Retrieval Agent

An AI agent with retrieval tool for document Q&A using RAG, powered by LangGraph.

Tech Stack

  • Framework: Next.js
  • AI: LangChain.js, LangGraph, AI SDK
  • Vector Store: Supabase pgvector
  • Package Manager: pnpm

Prerequisites

  • Supabase project with pgvector extension
  • OpenAI API key

Setup

1. Clone the Template

git clone --depth 1 https://github.com/Eng0AI/langchain-retrieval-agent.git .

If the directory is not empty:

git clone --depth 1 https://github.com/Eng0AI/langchain-retrieval-agent.git _temp_template
mv _temp_template/* _temp_template/.* . 2>/dev/null || true
rm -rf _temp_template

2. Remove Git History (Optional)

rm -rf .git
git init

3. Install Dependencies

pnpm install

4. Setup Environment Variables

  • SUPABASE_URL - Supabase project URL
  • SUPABASE_PRIVATE_KEY - Supabase service role key
  • OPENAI_API_KEY - For embeddings and LLM

Build

pnpm build

Development

pnpm dev