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Clinical RAG Tools Directory

A curated directory of frameworks, platforms, and tools for building medical RAG systems.

Open Source

RAGFlow

RAGFlow is an open-source RAG engine with advanced document understanding capabilities. It supports complex document parsing including PDFs with tables, figures, and medical notation.

Deep document understandingTemplate-based RAG pipelinesOpen-source under Apache 2.0Multiple embedding model support
Platform

Dify

Dify is an LLM application development platform with a visual RAG pipeline builder. It provides an intuitive interface for creating, testing, and deploying RAG applications.

Visual workflow builderBuilt-in document processingAPI managementMulti-model support
Framework

LlamaIndex

LlamaIndex (formerly GPT Index) is a data framework that provides tools for connecting custom data sources to LLMs, with sophisticated indexing and querying capabilities.

Advanced indexing strategiesMulti-modal document supportQuery engine compositionFine-grained data access
Framework

LangChain

LangChain is the most popular framework for building applications powered by LLMs. Its modular approach makes it easy to compose RAG pipelines with custom components.

Modular component architectureExtensive integrationsChain and agent patternsLarge community
SaaS

OpenEvidence

OpenEvidence is an AI-powered medical information platform that uses RAG to answer clinical questions with citations to peer-reviewed medical evidence.

Evidence-grounded answersCitation to medical literatureClinical information retrievalPeer-reviewed sources
SaaS

Glass Health

Glass Health provides AI-assisted clinical documentation and information support tools, leveraging RAG to ground outputs in current clinical guidelines.

AI clinical notesClinical reasoning supportGuideline-informed workflow supportGuideline-grounded responses
Enterprise

ClinicalKey AI

ClinicalKey AI by Elsevier combines the vast medical content library of ClinicalKey with AI-powered search and summarization for clinical and academic use.

Elsevier content libraryPeer-reviewed sourcesClinical and academic contentEnterprise-grade security

Disclaimer:Clinical decision support claims should be interpreted according to each vendor's documentation, regulatory status, and institutional governance requirements. This directory is for informational purposes only.