langchain
Category: llm-applications · License: MIT · Version: 1.0.0 · Includes scripts
Tags: Agents, LangChain, RAG, Tool Calling, ReAct, Memory Management, Vector Stores, LLM Applications, Chatbots, Production
When to use it
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.Example requests
Ask your agent in plain language, for example:- “How do I make a LangChain agent that can call a web search tool?”
- “I’m in my lab’s repo with 40 PDFs of protocol papers in ./papers. I’m using langchain 0.3 with Chroma and an Anthropic model. When I query, retrieval returns chunks that cut sentences in half and the answers miss context. Can you fix my pipeline so it loads the PDFs, splits them sensibly, and answers questions with sources?”
- “I want a chatbot for my group’s wiki that remembers what was said earlier in the conversation, and I want to be able to switch between OpenAI and Gemini without rewriting everything. What should I use and how do I set it up?”
Install
/plugin marketplace add KalarisLabs/research-agent-skills and install the whole llm-applications category with /plugin install llm-applications@research-agent-skills.