Webb7 mars 2024 · LangChain was created in October 2024 to build a modular and flexible framework for developing AI-native applications. The framework provides modules for building language model applications. You can use modules to develop applications or combine them to achieve a much more complex use case. Webb12 apr. 2024 · LangChain provides a standard interface for chains, lots of integrations with other tools, and end-to-end chains for common applications. 📚 Data Augmented …
langchain on Twitter: "🫐LangChain x Databerry🫐 Databerry lets you ...
Webb13 mars 2024 · The application is developed using LangChain, which is an open-source library designed to simplify the utilization of LLMs with Chain of Thoughts. This project has been gaining increasing... Webb🦜🔗LangChain code analysis example Following up on the previous example of code analysis on the Twitter algorithm code base, Leo Gan added an example of doing the same … install jupyterlab with pip
Welcome to LangChain — 🦜🔗 LangChain 0.0.138
Webb8 apr. 2024 · We start off by building a simple LangChain large language model powered by ChatGPT. By default, this LLM uses the “text-davinci-003” model. We can pass in the argument model_name = ‘gpt-3.5-turbo’ to use the ChatGPT model. It depends what you want to achieve, sometimes the default davinci model works better than gpt-3.5. Webb2 mars 2024 · langchain @LangChainAI · Mar 2 Last but not least, some big improvements to the @qdrant_engine integration! - Bumps the @qdrant_engine version … Webb18 mars 2024 · LangFlow allows you to customize prompt settings, build and manage agent chains, monitor the agent’s reasoning, and export your flow. Quickly and easily prototype ideas with the help of the drag-and-drop tool, and engage in real-time with the use of the integrated chat feature. install jupyter lab on wsl