AI Infrastructure · PyPI

RAGchain

Build advanced RAG workflows with LLM, compatible with Langchain

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Details

Author
Marker-Inc
GitHub profile
@Marker-Inc-Korea
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/Marker-Inc-Korea/RAGchain
Framework
langchain
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@Marker-Inc-Korea

Overview

Build advanced RAG workflows with LLM, compatible with Langchain

Quick start

pip

pip install RAGchain

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What RAGchain can do

llmragaiworkflowragchain
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Ai — ai task automation.
  • Workflow — Coordinates multi-step business processes.
  • Ragchain — ragchain task automation.

Frequently asked questions

What is RAGchain?
Build advanced RAG workflows with LLM, compatible with Langchain
How do I install RAGchain?
Use pip: `pip install RAGchain`. Full setup details on the source page linked above.
Is RAGchain open source?
RAGchain is published on PyPI.
What are alternatives to RAGchain?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for RAGchain is sourced from PyPI, published by Marker-Inc.

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