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-1.0.0.tar.gz (7.2 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-1.0.0-py3-none-any.whl (10.3 kB view details)

Uploaded Python 3

File details

Details for the file med_discover_ai-1.0.0.tar.gz.

File metadata

  • Download URL: med_discover_ai-1.0.0.tar.gz
  • Upload date:
  • Size: 7.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.11.7 Linux/6.11.0-19-generic

File hashes

Hashes for med_discover_ai-1.0.0.tar.gz
Algorithm Hash digest
SHA256 ccc1a29479e4687a0b518a4623f855d412b624ed10af29fedecf86364c7008f6
MD5 d99441f9e052b456e947b9649540a3b1
BLAKE2b-256 e2cc54e267f8cb0be872c158722b02d0516f89255de5b314d1d360292076f944

See more details on using hashes here.

File details

Details for the file med_discover_ai-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: med_discover_ai-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 10.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.11.7 Linux/6.11.0-19-generic

File hashes

Hashes for med_discover_ai-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4cbe55c1fbcb6db58d60e6db7419b41ffc4130909f356ad3eab8605064b4b161
MD5 30e0febd83bd3754487afbe4d3ed3377
BLAKE2b-256 80a759faa2a24091600135d042dec92a50e00e37c1641387bbd4aa46faf1c863

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