Embedchain

💡 Create a RAG app on your own data in a minute

⚡ Quickstart

📚 Introduction

Collections of all the frequently asked questions

❓ FAQs

💻 Full stack

🧱 Introduction

🤖 Chatbots

❓ Question Answering

🔍 Semantic Search

🧩 Introduction

🤖 Large language models (LLMs)

🗄️ Vector databases

🧩 Embedding models

🔬 Evaluation

Deploy your RAG application to production

Overview

Deploy your RAG application to fly.io platform

Fly.io

Deploy your RAG application to modal.com platform

Modal.com

Deploy your RAG application to render.com platform

Render.com

Deploy your RAG application to streamlit.io platform

Streamlit.io

Deploy your RAG application to gradio.app platform

Gradio.app

Deploy your RAG application to huggingface.co platform

Huggingface.co

Deploy your RAG application to embedchain.ai platform

Embedchain.ai

🤝 Connect with Us

📋 Guidelines

Contribute to Embedchain framework development

👨‍💻 Development

📝 Documentation

🐍 Python

 🟨 Javascript

 📜 Release Notes

Notebooks & Replits

Full Stack

OpenAI Assistant

Open-Source AI Assistant

🤖 Discord Bot

💼 Slack Bot

📱 Telegram Bot

💬 WhatsApp Bot

🔮 Poe Bot

🎪 Community showcase

AI Assistant

Custom configurations

Talk to founders

Documentation

Examples

API Reference

Join our slack

GitHub

Integrate with Langsmith to debug and monitor your LLM app

🛠️ LangSmith

Integrate with Chainlit to create LLM chat apps

⛓️ Chainlit

Integrate with Streamlit to plug and play with any LLM

🚀 Streamlit

Data type handling

🌍 Getting Started

Create app

Get all apps

Add data

Get data

Query app

Deploy app

Delete app

Check status

📊 add

❓ query

💬 chat

🔍 search

📄 get

📝 evaluate

🚀 deploy

🔄 reset

🗑 delete

Get Started

Use cases

Components

Deployment

Community

Contributing

Product

Vector databases