Langchain with Typescript

The purpose of this repo is to explain how to use Langchain with Typescript

What is LangChain?

LangChain is an open-source framework designed to simplify the development of applications powered by large language models (LLMs). It provides a modular and flexible toolkit for integrating LLMs with external data, tools, and memory, enabling developers to build context-aware, intelligent applications. With LangChain, you can create complex workflows that combine LLMs with custom prompts, data retrieval systems, and external APIs, making it ideal for applications like chatbots, question-answering systems, and automated workflows.

Key components of LangChain include:

• Prompt Templates: Standardized formats for crafting LLM inputs.
• Memory: Mechanisms to retain conversation context across interactions.
• Chains: Sequences of operations combining LLMs with tools or data.
• Agents: LLMs that dynamically decide actions based on user input.
• Tools: Integrations with external services like search engines or databases.
• Retrieval-Augmented Generation (RAG): Combining LLMs with external knowledge bases for enhanced responses.

Environment set-up

In order to run the examples, You will have to install the following dependencies:

• Ollama