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KG_RAG

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software/kg-rag

Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
dormant
Maturity
deployed
Organization
BaranziniLab
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
bert-models · bioinformatics · bioinformatics-algorithms · biomedical-applications · biomedical-informatics · context-aware · gpt · gpt35turbo
Regulatory
unknown
built by · 4

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • BERT implementation for radiology full-text reports

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    Cluster single cells and analyze cell clade relationships with colorful visualizations.

  • paper-based-microfluidicsbiomedical-applications

    My undergraduate honours project on paper-based microfluidics for animal disease detection

  • Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

  • Open-Science-Projectsbioinformatics · biomedical-informatics

    Open Science Projects at Georgetown-ICBI

  • pheno-rankerbioinformatics · biomedical-informatics

    Pheno-Ranker is a tool for comparing phenotypic data structured in JSON/YAML format, such as Beacon v2 Models or Phenopackets v2, as well as CSV.

sources
  1. api.github.com/repos/BaranziniLab/KG_RAG
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2024-11-09, 942 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/24.json→ .entries["kg-rag"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.