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- -# Table of Contents - -- [⛓️ Langflow](#️-langflow) -- [Table of Contents](#table-of-contents) -- [📦 Installation](#-installation) - - [Locally](#locally) - - [HuggingFace Spaces](#huggingface-spaces) -- [🖥️ Command Line Interface (CLI)](#️-command-line-interface-cli) - - [Usage](#usage) - - [Environment Variables](#environment-variables) -- [Deployment](#deployment) - - [Deploy Langflow on Google Cloud Platform](#deploy-langflow-on-google-cloud-platform) - - [Deploy on Railway](#deploy-on-railway) - - [Deploy on Render](#deploy-on-render) -- [🎨 Creating Flows](#-creating-flows) -- [👋 Contributing](#-contributing) -- [📄 License](#-license) +
# 📦 Installation
@@ -65,7 +46,7 @@ This will install the following dependencies:
- [llama-cpp-python](https://github.com/abetlen/llama-cpp-python)
- [sentence-transformers](https://github.com/UKPLab/sentence-transformers)
-You can still use models from projects like LocalAI
+You can still use models from projects like LocalAI, Ollama, LM Studio, Jan and others.
Next, run:
@@ -117,7 +98,7 @@ Each option is detailed below:
- `--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. You may want to update the documentation to include these parameters for completeness and clarity.
+These parameters are important for users who need to customize the behavior of Langflow, especially in development or specialized deployment scenarios.
### Environment Variables
@@ -147,19 +128,19 @@ Alternatively, click the **"Open in Cloud Shell"** button below to launch Google
# 🎨 Creating Flows
-Creating flows with Langflow is easy. Simply drag sidebar components onto the canvas and connect them together to create your pipeline. Langflow provides a range of [LangChain components](https://python.langchain.com/docs/integrations/components) to choose from, including LLMs, prompt serializers, agents, and chains.
+Creating flows with Langflow is easy. Simply drag components from the sidebar onto the canvas and connect them to start building your application.
-Explore by editing prompt parameters, link chains and agents, track an agent's thought process, and export your flow.
+Explore by editing prompt parameters, grouping components into a single high-level component, and building your own Custom Components.
-Once you're done, you can export your flow as a JSON file to use with LangChain.
-To do so, click the "Export" button in the top right corner of the canvas, then
-in Python, you can load the flow with:
+Once you’re done, you can export your flow as a JSON file.
+
+Load the flow with:
```python
from langflow import load_flow_from_json
flow = load_flow_from_json("path/to/flow.json")
-# Now you can use it like any chain
+# Now you can use it
flow("Hey, have you heard of Langflow?")
```
@@ -167,15 +148,16 @@ flow("Hey, have you heard of Langflow?")
We welcome contributions from developers of all levels to our open-source project on GitHub. If you'd like to contribute, please check our [contributing guidelines](./CONTRIBUTING.md) and help make Langflow more accessible.
+Join our [Discord](https://discord.com/invite/EqksyE2EX9) server to ask questions, make suggestions, and showcase your projects! 🦾
+
---
-Join our [Discord](https://discord.com/invite/EqksyE2EX9) server to ask questions, make suggestions and showcase your projects! 🦾
-
--
- [](https://star-history.com/#logspace-ai/langflow&Date) +# 🌟 Contributors + +[](https://github.com/logspace-ai/langflow/graphs/contributors) + # 📄 License Langflow is released under the MIT License. See the LICENSE file for details.