EmbedChain

developer tools

114 lines. EmbedChain came to play.

EmbedChain is redefining the way developers interact with their applications by providing a suite of powerful tools for managing, querying, and deploying apps. With intuitive documentation and features like add, chat, and search, it’s a must-try for any tech-savvy innovator!

Not sure yours is this good? Check it →

114 lines -89%
2 sections -88%
2 files

EmbedChain's llms.txt Insights

Short and sweet

2 sections. Minimalist, but hey — at least they showed up.

Goldilocks zone

114 lines — not too long, not too short. AI loves this.

Double trouble

Runs both llms.txt and llms-full.txt. Someone takes this seriously.

What's inside EmbedChain's llms.txt

EmbedChain's llms.txt contains 2 sections:

  • Embedchain
  • Docs

How does EmbedChain's llms.txt compare?

EmbedChainDirectory AvgTop Performer
Lines1141029163,447
Sections2173207

Cool table. Now the real question — where do you land? Find out →

EmbedChain's llms.txt preview

First 100 of 114 lines

# Embedchain

## Docs

- [Custom configurations](https://docs.embedchain.ai/api-reference/advanced/configuration.md)
- [📊 add](https://docs.embedchain.ai/api-reference/app/add.md)
- [💬 chat](https://docs.embedchain.ai/api-reference/app/chat.md)
- [🗑 delete](https://docs.embedchain.ai/api-reference/app/delete.md)
- [🚀 deploy](https://docs.embedchain.ai/api-reference/app/deploy.md)
- [📝 evaluate](https://docs.embedchain.ai/api-reference/app/evaluate.md)
- [📄 get](https://docs.embedchain.ai/api-reference/app/get.md)
- [App](https://docs.embedchain.ai/api-reference/app/overview.md)
- [❓ query](https://docs.embedchain.ai/api-reference/app/query.md)
- [🔄 reset](https://docs.embedchain.ai/api-reference/app/reset.md)
- [🔍 search](https://docs.embedchain.ai/api-reference/app/search.md)
- [AI Assistant](https://docs.embedchain.ai/api-reference/store/ai-assistants.md)
- [OpenAI Assistant](https://docs.embedchain.ai/api-reference/store/openai-assistant.md)
- [🤝 Connect with Us](https://docs.embedchain.ai/community/connect-with-us.md)
- [🎤 Audio](https://docs.embedchain.ai/components/data-sources/audio.md)
- [🐝 Beehiiv](https://docs.embedchain.ai/components/data-sources/beehiiv.md)
- [📊 CSV](https://docs.embedchain.ai/components/data-sources/csv.md)
- [⚙️ Custom](https://docs.embedchain.ai/components/data-sources/custom.md)
- [Data type handling](https://docs.embedchain.ai/components/data-sources/data-type-handling.md)
- [📁 Directory/Folder](https://docs.embedchain.ai/components/data-sources/directory.md)
- [💬 Discord](https://docs.embedchain.ai/components/data-sources/discord.md)
- [🗨️ Discourse](https://docs.embedchain.ai/components/data-sources/discourse.md)
- [📚 Code Docs website](https://docs.embedchain.ai/components/data-sources/docs-site.md)
- [📄 Docx file](https://docs.embedchain.ai/components/data-sources/docx.md)
- [💾 Dropbox](https://docs.embedchain.ai/components/data-sources/dropbox.md)
- [📝 Github](https://docs.embedchain.ai/components/data-sources/github.md)
- [📬 Gmail](https://docs.embedchain.ai/components/data-sources/gmail.md)
- [🖼️ Image](https://docs.embedchain.ai/components/data-sources/image.md)
- [📃 JSON](https://docs.embedchain.ai/components/data-sources/json.md)
- [📝 Mdx file](https://docs.embedchain.ai/components/data-sources/mdx.md)
- [🐬 MySQL](https://docs.embedchain.ai/components/data-sources/mysql.md)
- [📓 Notion](https://docs.embedchain.ai/components/data-sources/notion.md)
- [🙌 OpenAPI](https://docs.embedchain.ai/components/data-sources/openapi.md)
- [Overview](https://docs.embedchain.ai/components/data-sources/overview.md)
- [📰 PDF](https://docs.embedchain.ai/components/data-sources/pdf-file.md)
- [🐘 Postgres](https://docs.embedchain.ai/components/data-sources/postgres.md)
- [❓💬 Question and answer pair](https://docs.embedchain.ai/components/data-sources/qna.md)
- [🗺️ Sitemap](https://docs.embedchain.ai/components/data-sources/sitemap.md)
- [🤖 Slack](https://docs.embedchain.ai/components/data-sources/slack.md)
- [📝 Substack](https://docs.embedchain.ai/components/data-sources/substack.md)
- [📝 Text](https://docs.embedchain.ai/components/data-sources/text.md)
- [🌐 HTML Web page](https://docs.embedchain.ai/components/data-sources/web-page.md)
- [🧾 XML file](https://docs.embedchain.ai/components/data-sources/xml.md)
- [📽️ Youtube Channel](https://docs.embedchain.ai/components/data-sources/youtube-channel.md)
- [📺 Youtube Video](https://docs.embedchain.ai/components/data-sources/youtube-video.md)
- [🧩 Embedding models](https://docs.embedchain.ai/components/embedding-models.md)
- [🔬 Evaluation](https://docs.embedchain.ai/components/evaluation.md)
- [🧩 Introduction](https://docs.embedchain.ai/components/introduction.md)
- [🤖 Large language models (LLMs)](https://docs.embedchain.ai/components/llms.md)
- [ChromaDB](https://docs.embedchain.ai/components/vector-databases/chromadb.md)
- [Elasticsearch](https://docs.embedchain.ai/components/vector-databases/elasticsearch.md)
- [OpenSearch](https://docs.embedchain.ai/components/vector-databases/opensearch.md)
- [Pinecone](https://docs.embedchain.ai/components/vector-databases/pinecone.md)
- [Qdrant](https://docs.embedchain.ai/components/vector-databases/qdrant.md)
- [Weaviate](https://docs.embedchain.ai/components/vector-databases/weaviate.md)
- [Zilliz](https://docs.embedchain.ai/components/vector-databases/zilliz.md)
- [👨‍💻 Development](https://docs.embedchain.ai/contribution/dev.md): Contribute to Embedchain framework development
- [📝 Documentation](https://docs.embedchain.ai/contribution/docs.md): Contribute to Embedchain docs
- [📋 Guidelines](https://docs.embedchain.ai/contribution/guidelines.md)
- [🐍 Python](https://docs.embedchain.ai/contribution/python.md)
- [Fly.io](https://docs.embedchain.ai/deployment/fly_io.md): Deploy your RAG application to fly.io platform
- [Gradio.app](https://docs.embedchain.ai/deployment/gradio_app.md): Deploy your RAG application to gradio.app platform
- [Huggingface.co](https://docs.embedchain.ai/deployment/huggingface_spaces.md): Deploy your RAG application to huggingface.co platform
- [Modal.com](https://docs.embedchain.ai/deployment/modal_com.md): Deploy your RAG application to modal.com platform
- [Railway.app](https://docs.embedchain.ai/deployment/railway.md): Deploy your RAG application to railway.app
- [Render.com](https://docs.embedchain.ai/deployment/render_com.md): Deploy your RAG application to render.com platform
- [Streamlit.io](https://docs.embedchain.ai/deployment/streamlit_io.md): Deploy your RAG application to streamlit.io platform
- [null](https://docs.embedchain.ai/examples/chat-with-PDF.md)
- [🤖 Discord Bot](https://docs.embedchain.ai/examples/discord_bot.md)
- [Full Stack](https://docs.embedchain.ai/examples/full_stack.md)
- [null](https://docs.embedchain.ai/examples/nextjs-assistant.md)
- [Notebooks & Replits](https://docs.embedchain.ai/examples/notebooks-and-replits.md)
- [OpenAI Assistant](https://docs.embedchain.ai/examples/openai-assistant.md)
- [Open-Source AI Assistant](https://docs.embedchain.ai/examples/opensource-assistant.md)
- [🔮 Poe Bot](https://docs.embedchain.ai/examples/poe_bot.md)
- [Add data](https://docs.embedchain.ai/examples/rest-api/add-data.md): Add a data source to an app.
- [Check status](https://docs.embedchain.ai/examples/rest-api/check-status.md): Endpoint to check the status of the API
- [Create app](https://docs.embedchain.ai/examples/rest-api/create.md): Create a new app using App ID
- [Delete app](https://docs.embedchain.ai/examples/rest-api/delete.md): Delete an existing app
- [Deploy app](https://docs.embedchain.ai/examples/rest-api/deploy.md): Deploy an existing app.
- [Get all apps](https://docs.embedchain.ai/examples/rest-api/get-all-apps.md): Get all applications
- [Get data](https://docs.embedchain.ai/examples/rest-api/get-data.md): Get all data sources for an app
- [🌍 Getting Started](https://docs.embedchain.ai/examples/rest-api/getting-started.md)
- [Query app](https://docs.embedchain.ai/examples/rest-api/query.md): Query an app
- [🎪 Community showcase](https://docs.embedchain.ai/examples/showcase.md)
- [null](https://docs.embedchain.ai/examples/slack-AI.md)
- [💼 Slack Bot](https://docs.embedchain.ai/examples/slack_bot.md)
- [📱 Telegram Bot](https://docs.embedchain.ai/examples/telegram_bot.md)
- [💬 WhatsApp Bot](https://docs.embedchain.ai/examples/whatsapp_bot.md)
- [Overview](https://docs.embedchain.ai/get-started/deployment.md): Deploy your RAG application to production
- [❓ FAQs](https://docs.embedchain.ai/get-started/faq.md): Collections of all the frequently asked questions
- [💻 Full stack](https://docs.embedchain.ai/get-started/full-stack.md)
- [📚 Introduction](https://docs.embedchain.ai/get-started/introduction.md)
- [⚡ Quickstart](https://docs.embedchain.ai/get-started/quickstart.md): 💡 Create an AI app on your own data in a minute
- [⛓️ Chainlit](https://docs.embedchain.ai/integration/chainlit.md): Integrate with Chainlit to create LLM chat apps
- [🧊 Helicone](https://docs.embedchain.ai/integration/helicone.md): Implement Helicone, the open-source LLM observability platform, with Embedchain. Monitor, debug, and optimize your AI applications effortlessly.

What is llms.txt?

llms.txt is an open standard that helps AI language models understand your website. By placing a structured markdown file at /llms.txt, websites provide AI search engines like ChatGPT, Claude, and Perplexity with a clear map of their content, services, and documentation. Companies like EmbedChain use it to ensure AI accurately represents their brand when answering user queries. Read the spec.

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