AI Infrastructure · GitHub ·172 ★

raft

RAFT, or Retrieval-Augmented Fine-Tuning, is a method comprising of a fine-tuning and a RAG-based retrieval phase. It is particularly suited for the creation of agents that realistically emulate a specific human target.

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Details

Author
lumpenspace
Category
AI Infrastructure
Platform
GitHub
Framework
custom
Language
python
Stars
172
First indexed
2026-05-15
Last active
2024-08-31
Directory sync
2026-05-15
@lumpenspace

Overview

RAFT, or Retrieval-Augmented Fine-Tuning, is a method comprising of a fine-tuning and a RAG-based retrieval phase. It is particularly suited for the creation of agents that realistically emulate a specific human target.

Quick start

git

git clone https://github.com/lumpenspace/raft

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

What raft can do

ragllmembeddingfine-tun
  • Rag — Retrieves grounded context before answering.
  • Llm — llm task automation.
  • Embedding — Computes vector embeddings for semantic search.
  • Fine Tun — fine-tun task automation.

Frequently asked questions

What is raft?
RAFT, or Retrieval-Augmented Fine-Tuning, is a method comprising of a fine-tuning and a RAG-based retrieval phase. It is particularly suited for the creation of agents that realistically emulate a specific human target.
How do I install raft?
Use git: `git clone https://github.com/lumpenspace/raft`. Full setup details on the source page linked above.
Is raft open source?
raft is published on GitHub.
What are alternatives to raft?
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 raft is sourced from GitHub, published by lumpenspace.

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