diff --git a/README.md b/README.md
index a8676da6b..7aa3e8c90 100644
--- a/README.md
+++ b/README.md
@@ -1,33 +1,16 @@
-
-
Langflow 1.0 is OUT! π
-
Read all about it here!
-
- A visual framework for building multi-agent and RAG applications
-
- Open-source, Python-powered, fully customizable, LLM and vector store agnostic
+ Langflow is a low-code app builder for RAG (retrieval augmented generation) and multi-agent AI applications. Itβs Python-based and agnostic to any model, API, data source or database.
Docs -
+ Free Cloud Service -
Join our Discord -
- Follow us on X -
- Live demo
-
-
-
-
- 
-
-
- 
-
+ Follow us on X
@@ -39,168 +22,41 @@
- 
+
+https://github.com/user-attachments/assets/a1a36011-6169-4804-87ad-cfd4c5a79872
+
-# π Content
+# Core features
+1. Python-based and agnostic to models, APIs, data sources, or databases.
+2. Visual IDE for drag-and-drop building and testing of workflows.
+3. Playground to immediately test and iterate workflows with step-by-step control.
+4. Multi-agent orchestration and conversation management and retrieval.
+5. Free cloud service - get started in minutes with no setup.
+6. Publish workflows as back-end APIs or export as a Python application.
+7. Real time observability with LangSmith, LangFuse, or LangWatch integration.
+8. Support enterprise security and scale with free DataStax Langflow cloud service.
+9. Prebuilt ecosystem integrations to any model, API or database.
-- [π Content](#-content)
-- [π¦ Get Started](#-get-started)
-- [Running Langflow from a Cloned Repository](#running-langflow-from-a-cloned-repository)
-- [π¨ Create Flows](#-create-flows)
-- [Deploy](#deploy)
- - [DataStax Langflow](#datastax-langflow)
- - [Deploy Langflow on Hugging Face Spaces](#deploy-langflow-on-hugging-face-spaces)
- - [Deploy Langflow on Google Cloud Platform](#deploy-langflow-on-google-cloud-platform)
- - [Deploy on Railway](#deploy-on-railway)
- - [Deploy on Render](#deploy-on-render)
- - [Deploy on Kubernetes](#deploy-on-kubernetes)
-- [π₯οΈ Command Line Interface (CLI)](#οΈ-command-line-interface-cli)
- - [Usage](#usage)
- - [Environment Variables](#environment-variables)
-- [π Contribute](#-contribute)
-- [π Contributors](#-contributors)
-- [π License](#-license)
-# π¦ Get Started
+
-You can install Langflow with pip:
+# Stay up-to-date
+Star Langflow on GitHub to be instantly notified of new releases.
+
+
+
+# π¦ Quick Start
+
+- **Install Langflow with pip** (Python version 3.10 or greater):
```shell
-# Make sure you have >=Python 3.10 installed on your system.
python -m pip install langflow -U
```
-Then, run Langflow with:
-
-```shell
-python -m langflow run
-```
-
-# Running Langflow from a Cloned Repository
-
-If you prefer to run Langflow from a cloned repository rather than installing it via pip, follow these steps:
-
-1. **Clone the Repository**
-
-First, clone the Langflow repository from GitHub:
-
-```shell
-git clone https://github.com/langflow-ai/langflow.git
-```
-
-Navigate into the cloned directory:
-
-```shell
-cd langflow
-```
-
-2. **Build and Install Dependencies**
-
-To build and install Langflowβs frontend and backend, use the following commands:
-
-```shell
-make install_frontend && make build_frontend && make install_backend
-```
-
-3. **Run Langflow**
-
-Once the installation is complete, you can run Langflow with:
-
-```shell
-poetry run python -m langflow run
-```
-
-# π¨ Create Flows
-
-Creating flows with Langflow is easy. Simply drag components from the sidebar onto the workspace and connect them to start building your application.
-
-Explore by editing prompt parameters, grouping components into a single high-level component, and building your own Custom Components.
-
-Once youβre done, you can export your flow as a JSON file.
-
-Load the flow with:
-
-```python
-from langflow.load import run_flow_from_json
-
-results = run_flow_from_json("path/to/flow.json", input_value="Hello, World!")
-```
-
-# Deploy
-
-## DataStax Langflow
-
-DataStax Langflow is a hosted version of Langflow integrated with [AstraDB](https://www.datastax.com/products/datastax-astra). Be up and running in minutes with no installation or setup required. [Sign up for free](https://langflow.datastax.com).
-
-## Deploy Langflow on Hugging Face Spaces
-
-You can also preview Langflow in [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow). [Clone the space using this link](https://huggingface.co/spaces/Langflow/Langflow?duplicate=true) to create your own Langflow workspace in minutes.
-
-## Deploy Langflow on Google Cloud Platform
-
-Follow our step-by-step guide to deploy Langflow on Google Cloud Platform (GCP) using Google Cloud Shell. The guide is available in the [**Langflow in Google Cloud Platform**](./docs/docs/Deployment/deployment-gcp.md) document.
-
-Alternatively, click the **"Open in Cloud Shell"** button below to launch Google Cloud Shell, clone the Langflow repository, and start an **interactive tutorial** that will guide you through the process of setting up the necessary resources and deploying Langflow on your GCP project.
-
-[](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/langflow-ai/langflow&working_dir=scripts/gcp&shellonly=true&tutorial=walkthroughtutorial_spot.md)
-
-## Deploy on Railway
-
-Use this template to deploy Langflow 1.0 on Railway:
-
-[](https://railway.app/template/JMXEWp?referralCode=MnPSdg)
-
-## Deploy on Render
-
-
-
-
-
-## Deploy on Kubernetes
-
-Follow our step-by-step guide to deploy [Langflow on Kubernetes](./docs/docs/Deployment/deployment-kubernetes.md).
-
-# π₯οΈ Command Line Interface (CLI)
-
-Langflow provides a command-line interface (CLI) for easy management and configuration.
-
-## Usage
-
-You can run the Langflow using the following command:
-
-```shell
-langflow run [OPTIONS]
-```
-
-Each option is detailed below:
-
-- `--help`: Displays all available options.
-- `--host`: Defines the host to bind the server to. Can be set using the `LANGFLOW_HOST` environment variable. The default is `127.0.0.1`.
-- `--workers`: Sets the number of worker processes. Can be set using the `LANGFLOW_WORKERS` environment variable. The default is `1`.
-- `--timeout`: Sets the worker timeout in seconds. The default is `60`.
-- `--port`: Sets the port to listen on. Can be set using the `LANGFLOW_PORT` environment variable. The default is `7860`.
-- `--env-file`: Specifies the path to the .env file containing environment variables. The default is `.env`.
-- `--log-level`: Defines the logging level. Can be set using the `LANGFLOW_LOG_LEVEL` environment variable. The default is `critical`.
-- `--components-path`: Specifies the path to the directory containing custom components. Can be set using the `LANGFLOW_COMPONENTS_PATH` environment variable. The default is `langflow/components`.
-- `--log-file`: Specifies the path to the log file. Can be set using the `LANGFLOW_LOG_FILE` environment variable. The default is `logs/langflow.log`.
-- `--cache`: Selects the type of cache to use. Options are `InMemoryCache` and `SQLiteCache`. Can be set using the `LANGFLOW_LANGCHAIN_CACHE` environment variable. The default is `SQLiteCache`.
-- `--dev/--no-dev`: Toggles the development mode. The default is `no-dev`.
-- `--path`: Specifies the path to the frontend directory containing build files. This option is for development purposes only. Can be set using the `LANGFLOW_FRONTEND_PATH` environment variable.
-- `--open-browser/--no-open-browser`: Toggles the option to open the browser after starting the server. Can be set using the `LANGFLOW_OPEN_BROWSER` environment variable. The default is `open-browser`.
-- `--remove-api-keys/--no-remove-api-keys`: Toggles the option to remove API keys from the projects saved in the database. Can be set using the `LANGFLOW_REMOVE_API_KEYS` environment variable. The default is `no-remove-api-keys`.
-- `--install-completion [bash|zsh|fish|powershell|pwsh]`: Installs completion for the specified shell.
-- `--show-completion [bash|zsh|fish|powershell|pwsh]`: Shows completion for the specified shell, allowing you to copy it or customize the installation.
-- `--backend-only`: This parameter, with a default value of `False`, allows running only the backend server without the frontend. It can also be set using the `LANGFLOW_BACKEND_ONLY` environment variable.
-- `--store`: This parameter, with a default value of `True`, enables the store features, use `--no-store` to deactivate it. It can be configured using the `LANGFLOW_STORE` environment variable.
-
-These parameters are important for users who need to customize the behavior of Langflow, especially in development or specialized deployment scenarios.
-
-### Environment Variables
-
-You can configure many of the CLI options using environment variables. These can be exported in your operating system or added to a `.env` file and loaded using the `--env-file` option.
-
-A sample `.env` file named `.env.example` is included with the project. Copy this file to a new file named `.env` and replace the example values with your actual settings. If you're setting values in both your OS and the `.env` file, the `.env` settings will take precedence.
+- **Cloud:** DataStax Langflow is a hosted environment with zero setup. [Sign up for a free account.](http://langflow.datastax.com)
+- **Self-managed:** Run Langflow in your environment. [Install Langflow](https://docs.langflow.org/getting-started-installation) to run a local Langflow server, and then use the [Quickstart](https://docs.langflow.org/getting-started-quickstart) guide to create and execute a flow.
+- **Hugging Face:** [Clone the space using this link](https://huggingface.co/spaces/Langflow/Langflow?duplicate=true) to create a Langflow workspace.
# π Contribute
diff --git a/docs/static/img/hero.png b/docs/static/img/hero.png
index 85bc2731d..5eff7db0d 100644
Binary files a/docs/static/img/hero.png and b/docs/static/img/hero.png differ