langchain-integrations

What problem does it solve?

LangChain integrations across multiple providers and vector stores are often scattered across docs and examples. This Skill consolidates core integration patterns, making it easier to import and compose LangChain components (OpenAI, Anthropic, Chroma, FAISS, Pinecone, Qdrant, and more) in a single, maintainable guide.

Core Features & Use Cases

• Unified installation and usage guidance for major LangChain providers, vector stores, and loaders.
• Clear compatibility rules and real-world patterns for building hybrid search, retrieval-augmented generation, and multilingual workflows.
• Use Case: rapidly assemble a multi-provider QA system that leverages LangChain's embedding, retriever, and chat model integrations across Chroma and Qdrant.

Quick Start

Install the LangChain core and provider packages, then begin building a multi-provider workflow guided by this skill.