How can I implement a GPT-powered search in my 25GB legal document system with user authentication and low costs? I’m not a programmer and need guidance.
hey maya, maybe try bubble.io integrations? they make setting up gpt search & auth easier. check cloud services for preprcessing your docs to keep costs down. hope this helps, good luck!
hey maya, have u thought about using an open source search tool with a small python setup? it might ease the load and cut costs. how are your docs structured? curious to hear more bout your specific needs!
hey maya, even tho im not a coder, maybe check out a platform like azure search? they offer prebuilt auth and search tools which could suit your needs without too much heavy lifting.
hey maya, have u tried low-code setups like zapier for merging auth and gpt search? exploring cloud embeddngs for your legal docs might help. what types of cases are u mostly indexing? curious to know your prioritiez!
Integrating GPT-powered search into a large legal document repository can be achieved even without extensive programming skills by leveraging modern low-code platforms and cloud services. In my experience, it works best to use a specialized service for document indexing, which can handle the extensive data while providing the necessary filtering features for legal terminology. Combining this with an established authentication framework ensures both security and user accessibility. It is important to pre-process and break down documents appropriately to manage costs, resulting in an efficient and effective implementation.