Langchain Playground

This project serves as a comprehensive testing ground and demonstration for building applications with large language models. It showcases integrations with core LLM frameworks like LangChain.js and LangGraph for advanced workflow orchestration, enabling multi-step processes. The tool offers both REST API endpoints and a Slack bot interface for interacting with diverse language models and custom workflows, exemplified by a New Relic log analysis system and a Retriever-Augmented Generation (RAG) implementation for querying documents. It also highlights the integration of Model Context Protocol (MCP) tools and support for various LLM providers and services.

Key Features

Use Cases