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Embedchain

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🐍 Python

💡 Create an AI app on your own data in a minute

⚡ Quickstart

📚 Introduction

Collections of all the frequently asked questions

❓ FAQs

💻 Full stack

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

OpenTelemetry-native Observability and Evals for LLMs & GPUs

🔭 OpenLIT

Implement Helicone, the open-source LLM observability platform, with Embedchain. Monitor, debug, and optimize your AI applications effortlessly.

🧊 Helicone

Helicone LLM Observability for Embedchain

🧱 Introduction

🤖 Chatbots

❓ Question Answering

🔍 Semantic Search

🧩 Introduction

Overview

Data type handling

ChromaDB

Elasticsearch

Pinecone

OpenSearch

Qdrant

Weaviate

Zilliz

🤖 Large language models (LLMs)

🧩 Embedding models

🔬 Evaluation

Deploy your RAG application to production

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 railway.app

Railway.app

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

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Notebooks & Replits

🌍 Getting Started

Create app

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Full Stack

OpenAI Assistant

Open-Source AI Assistant

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👨‍💻 Development

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