LightRAG/.apolo/applications.yaml
Taddeus 2255b91210 Adds initial LightRAG app integration with schema and processors
Introduces the LightRAG Retrieval-Augmented Generation framework as an Apolo app, including input/output schemas, types, and processors.
Adds Helm chart value processing, environment and persistence configurations, and output service discovery for deployment.
Includes scripts for generating type schemas and testing support, along with CI and linting setup tailored for the new app.
Provides a documentation loader script to ingest markdown files into LightRAG with flexible referencing modes.

Relates to MLO-469
2025-11-03 13:59:52 +02:00

55 lines
2.1 KiB
YAML

- app_type: lightrag
name: lightrag
title: LightRAG
install_type: workflow
helm_path: k8s-deploy/lightrag
app_package_name: apolo_apps_lightrag
inputs:
schema_path: .apolo/src/apolo_apps_lightrag/schemas/LightRAGAppInputs.json
types_name: LightRAGAppInputs
processor: LightRAGInputsProcessor
image: ghcr.io/neuro-inc/app-lightrag
outputs:
schema_path: .apolo/src/apolo_apps_lightrag/schemas/LightRAGAppOutputs.json
types_name: LightRAGAppOutputs
processor: LightRAGOutputsProcessor
image: ghcr.io/neuro-inc/app-lightrag
short_description: Advanced RAG framework with graph-enhanced retrieval capabilities
description: |
LightRAG is a simple and fast Retrieval-Augmented Generation (RAG) system that incorporates
graph structure into text indexing and retrieval processes. Unlike traditional RAG approaches,
LightRAG utilizes both low-level and high-level knowledge discovery to enhance text retrieval.
It supports both naive and local search methods, making it suitable for comprehensive
question-answering tasks. The system includes a user-friendly web interface for document
management and querying, with built-in support for various LLM providers and embedding models.
pub_date: "2025-06-25T00:00:00+00:00"
logo: https://storage.googleapis.com/development-421920-assets/app-logos/lightrag-logo.png
tags:
- "RAG"
- "LightRAG"
- "Knowledge Graph"
- "Vector Search"
- "Document Processing"
- "LLM"
- "Embeddings"
- "PostgreSQL"
- "Graph"
- "AI"
- "NLP"
assets:
- type: image
url: https://storage.googleapis.com/development-421920-assets/app-logos/lightrag-banner.png
- type: video
url: https://www.youtube.com/watch?v=oageL-1I0GE
- type: pdf
url: https://arxiv.org/abs/2410.05779
urls:
- name: LightRAG GitHub Repository
type: documentation
url: https://github.com/HKUDS/LightRAG
- name: LightRAG DeepWiki Documentation
type: documentation
url: https://deepwiki.com/HKUDS/LightRAG
- name: LightRAG Official Repository
type: external
url: https://github.com/HKUDS/LightRAG