Skip to main content

Med-Discover is an AI-powered tool designed to assist biomedical researchers by leveraging Retrieval-Augmented Generation (RAG) with fine-tuned LLMs on PubMed literature. It enables efficient document retrieval, knowledge extraction, and interactive querying from biomedical research papers, helping researchers find relevant insights quickly. The package supports both GPU-based embeddings (MedCPT) and CPU-friendly alternatives (GPT-4 embeddings), making it accessible for a wide range of users.

Project description

MedDiscover

MedDiscover is an AI-powered tool designed to assist biomedical researchers using RAG-LLM models fine-tuned on PubMed literature.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

med_discover_ai-1.0.2.tar.gz (12.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

med_discover_ai-1.0.2-py3-none-any.whl (17.1 kB view details)

Uploaded Python 3

File details

Details for the file med_discover_ai-1.0.2.tar.gz.

File metadata

  • Download URL: med_discover_ai-1.0.2.tar.gz
  • Upload date:
  • Size: 12.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.11.7 Linux/6.11.0-21-generic

File hashes

Hashes for med_discover_ai-1.0.2.tar.gz
Algorithm Hash digest
SHA256 028c8978b2bdefd0f0b8d09b18a7ec787197425bb631a12d1f4aaf6f958c37a9
MD5 25f77801c8a816e0454c87c909b49706
BLAKE2b-256 1935150091a8e77c53496250d35c28971736af9ea56ae327d7f3c2bb7190a053

See more details on using hashes here.

File details

Details for the file med_discover_ai-1.0.2-py3-none-any.whl.

File metadata

  • Download URL: med_discover_ai-1.0.2-py3-none-any.whl
  • Upload date:
  • Size: 17.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.11.7 Linux/6.11.0-21-generic

File hashes

Hashes for med_discover_ai-1.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 724c721d9a13185c80e1a8ef5ff2e98c98c98ad99046d8c92e5bde83f8724b54
MD5 8ee3b5cd1238363d54f6b6f019d98064
BLAKE2b-256 967c1dfb0be216324b9f432ca8e25c5acd88362e23f92d67db37b54603a0fc99

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page