AI Infrastructure · PyPI

forget-rag

A forgetting layer for RAG systems — heat-based decay, tiered storage, graceful eviction.

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Details

Author
LBDog
GitHub profile
@zx22413
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/zx22413/forget-rag
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@zx22413

Overview

A forgetting layer for RAG systems — heat-based decay, tiered storage, graceful eviction.

Quick start

pip

pip install forget-rag

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

What forget-rag can do

llmragretrieval
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Retrieval — retrieval task automation.

Frequently asked questions

What is forget-rag?
A forgetting layer for RAG systems — heat-based decay, tiered storage, graceful eviction.
How do I install forget-rag?
Use pip: `pip install forget-rag`. Full setup details on the source page linked above.
Is forget-rag open source?
forget-rag is published on PyPI.
What are alternatives to forget-rag?
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 forget-rag is sourced from PyPI, published by LBDog.

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