> For example you could almost build a new kind of Job Search Service that matches job descriptions to job candidates based on nothing but a vector similarity between resume and job description. That's probably so obvious it's being done, already.
Literally the next item on my roadmap for employbl dot com lol. we're calling it a "personalized job board" and using PGVector for storing the embeddings. I've also heard good things about Typesense though.
One thing I've found to be important when creating the embeddings is to not do an embedding of the whole job description. Instead use an LLM to make a concise summary of the job listing (location, skills etc.) in a structured format. Then store that store as the embedding. It reduces noise and increases accuracy for vector search.
Literally the next item on my roadmap for employbl dot com lol. we're calling it a "personalized job board" and using PGVector for storing the embeddings. I've also heard good things about Typesense though.
One thing I've found to be important when creating the embeddings is to not do an embedding of the whole job description. Instead use an LLM to make a concise summary of the job listing (location, skills etc.) in a structured format. Then store that store as the embedding. It reduces noise and increases accuracy for vector search.