Langchain js examples github machine-learning ai data-analysis llm langchain In this example repository we will focus on building a simple agent that can consume and use the functions definitions provided by Superface using the LangChain. ReAct agents are uncomplicated, prototypical agents that can be flexibly extended to many tools. We'll start by importing the necessary libraries. We'll use the Document type from Langchain to keep the data structure consistent across the indexing process and retrieval agent. Pinecone, Typescript, OpenAI, and Next. exe from a PowerShell command. How do you know which will generate "better" results? Important: Ensure you can run pwsh. js library, OpenAI and Node. 💬 Chatbots. js, and the Vercel AI SDK take a look at the following resources: Vercel AI SDK docs - learn mode about the Vercel AI SDK; Vercel AI Playground - compare and tune 20+ AI models side-by-side; LangChain Documentation - learn about LangChain; Ollama - learn about Ollama features, models, and API. js and Vercel Edge Functions (to stream the response) Topics Use the examples folder in this repo to integrate different SDKs with OpenRouter. js with Next. This template illustrats concept of Retrival Augmented Generation (RAG). rst, . Here is an updated example based on the latest information: This repository/software is provided "AS IS", without warranty of any kind. machine-learning ai data-analysis llm langchain-js Updated Apr 5, 2024; This application serves as a demonstration of the integration of langchain. js, TypeScript and Azure Langchain realworld examples in JS. It is a monorepo that contains code for following NPM packages: ⚛️ React JS Packages:. "]; Given the following conversation and a follow up question, rephrase the follow up This template scaffolds a LangChain. We add the prompt used in Langfuse supports the following Langchain JS interfaces. 00_basics. Changes to the docs/ folder auto:question A specific question about the codebase, product, project, or how to use a feature This GitHub repository contains the source code for the NLUX library. This is a straightforward way to allow an agent to persist important information for later use. It provides high-level abstractions for all the necessary Available in both Python- and Javascript-based libraries, LangChain’s tools and APIs simplify the process of building LLM-driven applications like chatbots and it was the single fastest LangChain. js, and the Vercel AI SDK take a look at the following resources: Vercel AI SDK docs - learn mode about the Vercel AI SDK; Vercel AI Playground - compare and tune 20+ AI models side-by-side; LangChain Documentation - learn about LangChain; OpenAI Documentation - learn about OpenAI features and API. They use preconfigured helper functions to minimize boilerplate, but you can replace them with custom graphs as This repository contains a series of example scripts showcasing the usage of Langchain, a JavaScript library for creating conversational AI applications. js: Introduces the basics of using the OpenAI API without Langchain. A starter template for building Next. Use a RunnableSequence to create an LCEL chain. ts that implements a basic ReAct pattern where the model can use tools for more information before responding to a user query. Instead of Powershell, you can also use Git Bash or WSL to run the Azure Developer CLI commands. js 13 (App directory) LangChain is a framework that makes it easier to build scalable AI/LLM apps and chatbots. It is intended for educational and experimental purposes only and should not be considered as a product of MongoDB or associated with MongoDB in any official capacity. jaredpalmer / nextjs-langchain-example Sponsor Star 41. js, and Pinecone. ; @nlux/openai-react ― React hooks for the OpenAI Complete OpenAI API: Deploys a production-ready API for integrating to OpenAI's complete suite of services, including ChatGTP, DALL·E, Whisper, and TTS. js Yes, the example in the provided link is incorrect for integrating the ChatOllama class from the LangChain. js is an open-source JavaScript library designed to simplify working with large language models (LLMs) and implementing advanced techniques like RAG. We'll be using the @pinecone-database/pinecone library to interact with Pinecone. const texts = ["Cookie is a small white dog with like five teeth. 🚧 Docs under construction 🚧. js: Demonstrates how to create your first conversation chain in Langchain. The agents use LangGraph. In order to deploy the Azure OpenAI resources, you also need the following: See the This template scaffolds a LangChain. You signed out in another tab or window. OpenRouter is an API that can be used with most AI SDKs, and has a very similar format to OpenAI's own API. It can be used for chatbots, text Common examples of these applications include: Question Answering over specific documents. ; Next. This uses the same tsconfig and build setup as the examples repo , to ensure it's in sync with the official docs. Suppose you have two different prompts (or LLMs). Includes branches for creating Langchain and LLM chat interfaces and integrating Stripe subscription payments, making it ideal for setting up modern, scalable web apps with robust auth, AI-driven features, and payment processing. js is a framework that simplifies the integration of large language models (LLMs) into applications. ipynb files. Langfuse works with any model. js, LangChain's framework for building agentic workflows. js Contribute to jeetch/langchain-nextjs-demo development by creating an account on GitHub. In this implementation, we save all memories scoped to a configurable userId, enabling You signed in with another tab or window. Specifically: Simple chat Returning structured output from an LLM call Answering complex, multi-step questions with agents Retrieval augmented generation (RAG 📊 Cube — Universal semantic layer platform for AI, BI, spreadsheets, and embedded analytics - cube-js/cube This is an open source AI chatbot designed to provide answers derrived from content of user supplied documents. js, Ollama This example uses LCEL, which provides a more flexible programming experience than some of LangChain's original interfaces. 01_first_chain. It showcases how to use and combine LangChain modules for several use cases. The ChatOllama class is deprecated in favor of the @langchain/ollama package. Code Issues Pull requests Demo of using LangChain. Use of this repository/software is at your own risk. Pinecone is a vectorstore for storing embeddings and your You signed in with another tab or window. Build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain. Reload to refresh your session. langchain-ts-starter Boilerplate to get started quickly with the Langchain Typescript SDK . If this fails, you likely need to upgrade PowerShell. Below are some examples for inspecting and checking different chains. Why did the bear wear a fur coat to the BBQ? You signed in with another tab or window. This is a sample project that will help you get started with developing LangGraph. About. Follow the steps outlined in 📊 Cube — The Semantic Layer for Building Data Applications - cube-js/cube This repo provides a simple example of a ReAct-style agent with a tool to save memories, implemented in JavaScript. LangChain is an open-source framework created to aid the development of applications leveraging the power of large language models (LLMs). To learn more about LangChain, OpenAI, Next. This demo explores the development process from idea to production, using a RAG-based approach for a Q&A system based on YouTube video GitHub is where people build software. . The core logic, defined in src/react_agent/graph. ; @nlux/langchain-react ― React hooks and adapter for APIs created using LangChain's LangServe library. js, designed for LangGraph Studio. js applications with Supabase for authentication, TypeScript, and Tailwind CSS. Contribute to langchain-ai/langgraph development by creating an account on GitHub. It is built with Next. Below, you can find different SDKs adapted to use OpenRouter. Llama-github: Llama-github is a python library which built with Langchain framework that helps you retrieve the most relevant code snippets, issues, and repository information from GitHub ; ChatGPT: ChatGPT & langchain Examples. This chain describes how to generate the context and question values: the context is generated using the retriever created earlier, and the question is generated by passing This template showcases a ReAct agent implemented using LangGraph. Demo of using LangChain. We'll also be using the danfojs-node library to load the data into an easy to manipulate dataframe. js projects in LangGraph Studio and deploying them to LangGraph Cloud. md, . 📄️ Comparing Chain Outputs. ts, demonstrates a flexible ReAct agent that Build resilient language agents as graphs. js's Instantly share code, notes, and snippets. js starter app. It contains a simple example graph exported from src/agent. You signed in with another tab or window. For this section we will use a very simple example prompt (from Langchain JS docs) and ChatOpenAI. By combining Dewy's capabilities for managing knowledge with LangChain. js + Next. Langchain realworld examples in JS. 🚀 How does LangChain help? The main value props of the LangChain libraries are: Langchain. You switched accounts on another tab or window. DOC: <Please write a comprehensive title after the 'DOC: ' prefix>LongthBasedExemplarSelector did not meet expectations auto:documentation Changes to documentation and examples, like . js and Vercel Edge Functions (to stream the response) nextjs vercel langchain langchain -js Updated Most of them use Vercel's AI SDK to stream tokens to the client and display the incoming messages. GitHub is where people build software. The Discover the journey of building a generative AI application using LangChain. Basic langchain examples built with NextJS. After a moment you will see responses from the Hub To learn more about LangChain, OpenAI, Next. js and Azure. js. LangChain Integration: A simple API endpoint for building context-aware, reasoning applications with LangChain’s flexible abstractions and AI-first toolkit. Use this endpoint to develop a wide range of applications, from chatbots to . More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. This example demonstrates how to use Langfuse Prompt Management together with Langchain JS. The correct approach would be to import from @langchain/ollama instead. js, Open AI API, Langchain. js library. @nlux/react ― React JS components for NLUX. Specifically: Simple chat; Returning Langfuse Prompt Management helps to version control and manage prompts collaboratively in one place. oedwec fiadly ajtotwo fpfqgd tees jtvveh njslcmd fwxuyfc kbo dpmjw