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LangChain RAG Pipelines

Builds question answering over your documents with LangChain: load, chunk, embed, index in a vector store and retrieve.

Haarnessverifiedcodinglangchainragembeddingsvector-storeretrieval

Install

  1. 1

    Get Haarness

    Free and open source. Skip this step if Haarness is already on your computer.

    Download for macOSor
    curl -fsSL https://haarness.ai/install.sh | sh

    Free and open source. Skip this step if Haarness is already on your computer.

    Download for Windowsor
    irm https://haarness.ai/install.ps1 | iex

    Free and open source. Skip this step if Haarness is already on your computer.

    Download for Linuxor
    curl -fsSL https://haarness.ai/install.sh | sh

    Haarness installs on a computer. Open this page there to continue, or use it in the cloud below.

    Haarness installs on a computer. Open this page there to continue, or use it in the cloud below.

    Haarness installs on a computer. Open this page there to continue, or use it in the cloud below.

    Haarness installs on a computer. Open this page there to continue, or use it in the cloud below.

  2. 2

    Add LangChain RAG Pipelines

    Run this in a terminal. Add --global to install for every project, or --local for this project only.

    haarness marketplace install skill haarness/langchain-rag

Notes

From langchain-ai/langchain-skills (config/skills/langchain-rag), by langchain-ai. Licence: MIT. Haarness keeps it in sync with the repository; installs update themselves.

Details

Publisher
Haarness
Version
v1
License
MIT
Visibility
public
Updated
Source
github.com/langchain-ai/langchain-skillsconfig/skills/langchain-rag · mainKept in sync · 126c384

Versions

  • v1