Chat with your docs. The deployed link is not updated. Please setup project locally to find issues.
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Updated
Jun 15, 2024 - JavaScript
Chat with your docs. The deployed link is not updated. Please setup project locally to find issues.
Langchain realworld examples in JS
Build a generative AI application using LangChain.js, from local to Azure
An RAG (retrieval augmented generation) app which iterates through a PDF document and can answer user's questions based on the document uploaded. This application needs a Google API Key.
This application serves as a demonstration of the integration of langchain.js, Ollama, and ChromaDB to showcase question-answering capabilities. With a focus on Retrieval Augmented Generation (RAG), this app enables shows you how to build context-aware QA systems with the latest information.
This project is a digital human that can talk to you and is animated based on your questions. It uses the Nvidia API endpoint Meta llama3-70b to generate responses, Eleven Labs to generate voice and Rhubarb Lip Sync to generate the lip sync.
In this repository, you'll find a collection of well-structured code examples, exercises, and explanations to help you effectively interact with OpenAI's GPT-3.5 model and Langchain using JavaScript.
LLM agent tasking workflow between operators and line lead
The Busy Developers Guide to Generative AI: A free e-book to quickly learn AI development with JavaScript, Node.js, and LangChain.js
LLM agent to generate workflow UML diagrams
JavaScript client library for managing your LLM data in one place
Simplify OpenAI API usage with precise response formats, seamlessly integrating AI-generated content into your applications. Make any functions in a second
langchain frame work in node
Rozserzalny PoC demonstrujący wykorzystanie narzędzi w frameworku langchain.
langchain-document sample written in NodeJS
LLM for the form and work docs compliance
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