We require a skilled freelancer to develop a proof-of-concept (POC) for semantic search capabilities using a vector database on a sample of anonymized medical records for our MedTech SaaS product.

We are looking for an experienced freelancer to handle the following:
I need help setting up a basic system to demonstrate how a vector database can power semantic search over a small dataset of anonymized patient notes that we will provide. The main goal is to show how relevant medical information can be retrieved more effectively than traditional keyword search. Please reach out so we can discuss the specifics of the dataset and what a successful demo looks like.

Deliverables:
A functional demo (e.g., a Python script or Jupyter notebook) showcasing the ingestion of our sample data into a chosen vector database and performing semantic search queries, along with a short explanation of the setup.

If you have relevant experience, please submit your proposal or reach out in chat.