Business · PyPI

RagForge

A modular Retrieval-Augmented Generation (RAG) library integrating Vertex AI, OpenAI, and ChromaDB.

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Details

Author
Kusal Bandara
GitHub profile
@Pula99
Category
Business
Platform
PyPI
GitHub
https://github.com/Pula99/ragify
Framework
openai
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@Pula99

Overview

A modular Retrieval-Augmented Generation (RAG) library integrating Vertex AI, OpenAI, and ChromaDB.

Quick start

pip

pip install RagForge

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

What RagForge can do

ragaiopenairetrieval
  • Rag — Retrieves grounded context before answering.
  • Ai — ai task automation.
  • Openai — openai task automation.
  • Retrieval — retrieval task automation.

Frequently asked questions

What is RagForge?
A modular Retrieval-Augmented Generation (RAG) library integrating Vertex AI, OpenAI, and ChromaDB.
How do I install RagForge?
Use pip: `pip install RagForge`. Full setup details on the source page linked above.
Is RagForge open source?
RagForge is published on PyPI.
What are alternatives to RagForge?
Comparable agents include awesome-llm-apps, vllm, aider. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for RagForge is sourced from PyPI, published by Kusal Bandara.

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