INVOCAR ESTA HABILIDADE ao construir QUALQUER sistema de geração aumentada por recuperação (RAG). Abrange carregadores de documentos, RecursiveCharacterTextSplitter, embeddings (OpenAI) e bancos de dados vetoriais (Chroma, FAISS, Pinecone).
Esta habilidade (skill) fornece um guia completo e boas práticas para construir sistemas de Geração Aumentada por Recuperação (RAG) utilizando a biblioteca LangChain. Ela cobre todos os componentes essenciais de um pipeline RAG: carregadores de documentos (como PyPDFLoader, TextLoader), o divisor de texto `RecursiveCharacterTextSplitter` para segmentação inteligente, modelos de embeddings (com foco em OpenAI) e os principais bancos de dados vetoriais (Chroma, FAISS e Pinecone). A habilidade é útil para desenvolvedores que desejam implementar RAG em aplicações de IA, como chatbots com contexto ou buscas semânticas, garantindo a melhor arquitetura para recuperação de informações. Ela suporta as plataformas onde o LangChain está disponível (Python, Node.js, etc.) e funciona na prática fornecendo trechos de código prontos e explicações sobre a configuração de cada etapa, desde o carregamento até a consulta ao banco vetorial, otimizando a qualidade das respostas geradas pelo modelo de linguagem.
npx skills add https://github.com/langchain-ai/langchain-skills/tree/main/skills/langchain-ragInstalled? Explore more Programação e Desenvolvimento skills: steipete/bluebubbles, steipete/eightctl, steipete/blucli · View all 6 →
INVOCAR ESTA HABILIDADE ao construir QUALQUER sistema de geração aumentada por recuperação (RAG). Abrange carregadores de documentos, RecursiveCharacterTextSplitter, embeddings (OpenAI) e bancos de dados vetoriais (Chroma, FAISS, Pinecone).
This repo contains 11 individual skills — each has its own dedicated page.
INVOKE THIS SKILL when building ANY Deep Agents application. Covers create_deep_agent(), harness architecture, SKILL.md format, and configuration options.
INVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent), FilesystemMiddleware, and CompositeBackend for routing.
INVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.
INVOKE THIS SKILL at the START of any LangChain/LangGraph/Deep Agents project, before writing any agent code. Determines which framework layer is right for the task: LangChain, LangGraph, Deep Agents, or a combination. Must be consulted before other agent skills.
INVOKE THIS SKILL when setting up a new project or when asked about package versions, installation, or dependency management for LangChain, LangGraph, LangSmith, or Deep Agents. Covers required packages, minimum versions, environment requirements, versioning best practices, and common community tool packages for both Python and TypeScript.
Create LangChain agents with create_agent, define tools, and use middleware for human-in-the-loop and error handling.
INVOKE THIS SKILL when you need human-in-the-loop approval, custom middleware, or structured output. Covers HumanInTheLoopMiddleware for human approval of dangerous tool calls, creating custom middleware with hooks, Command resume patterns, and structured output with Pydantic/Zod.
INVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling.
INVOKE THIS SKILL when implementing human-in-the-loop patterns, pausing for approval, or handling errors in LangGraph. Covers interrupt(), Command(resume=...), approval/validation workflows, and the 4-tier error handling strategy.
INVOKE THIS SKILL when your LangGraph needs to persist state, remember conversations, travel through history, or configure subgraph checkpointer scoping. Covers checkpointers, thread_id, time travel, Store, and subgraph persistence modes.
Dispatches many independent items in parallel: create a table, fan out to subagents, aggregate results. One row = one unit of work.
Send and manage iMessages via BlueBubbles, including attachments, tapbacks, edits, replies, and groups.
Control Eight Sleep pods (status, temperature, alarms, schedules).
BluOS CLI (blu) for discovery, playback, grouping, and volume.
Create, search, and manage Bear notes via grizzly CLI.
Capture frames or clips from RTSP/ONVIF cameras.
Search GIF providers with CLI/TUI, download results, and extract stills/sheets.