LangChain is a Python framework that helps someone build an AI Application and simplify all the requirements without having to code all the little details. An example of this is interacting with an LLM. Once all the information is together in a nice neat prompt, you’ll want to submit it ...
LangChain is a framework that simplifies the process of creatinggenerative AIapplication interfaces. Developers working on these types of interfaces use various tools to create advanced NLP apps; LangChain streamlines this process. For example, LLMs have to access large volumes ofbig data, so Lang...
LangChain is an open source orchestration framework for the development of applications using large language models (LLMs), like chatbots and virtual agents.
What is LangChain? It is an open-source framework that helps developers build applications using large language models (LLMs). It is available as both Python and JavaScript libraries and provides tools and APIs to make creating LLM-based applications, such as chatbots and virtual assistants, eas...
The framework is built with these principles in mind, making it a powerful tool for creating advanced AI applications. LangChain started as a Python framework, but it has since been ported to JavaScript. This means that you can use it with Node.js. LangChain got a seed funding of $...
Prompt Protection for LangChain in Python An example CLI tool that demonstrates integrating Pangea services into a LangChain app to capture and filter what users are sending to LLMs: Secure Audit Log— Create an event when a human prompt is received. Redact— Remove sensitive information from pr...
If you have inserted to correct API key in Step 2, you will get a response. Conclusion This article has been illustrated from many aspects, firstly it demonstrates what is LangChain, and how it works, then it moves to agents in LangChain, and discusses the purpose of the agents in Lang...
Introduction to Python Nowadays, Python is in great demand. It is widely used in the software development industry. There is ‘n’ number of reasons for this. High-level object-oriented programming language:Python includes effective symbolism. ...
TutorialCreate a LangChain RAG system for web data in Python using Llama 3.1-405b in watsonx.ai Retrieve documents to create a vector store as context for an LLM to answer questions. TutorialBuild a Langchain RAG application for PDF documents using Llama 3.1-405b in watsonx.ai ...
Based on the context you've provided, here's how you can use theChatOpenAIclass to count tokens in an application powered by OpenAI's gpt-3.5 turbo using the LangChain Javascript framework. However, thecalculateMaxTokensfunction is not mentioned in the new context, so I can't provide an ...