OpenAI + PineconeDB -> Langchain -> Quivr to get a decent UI

right now i'm trying to prove to the company i work that you can turn the endless rules and daily information stream into something people can find easily using sematic search (vector DB) and an AI to summarize categorize, generate embeddings and auto update the DB, while also interpreting the content of the search result and giving a more digestible answer and a source link if the end user needs more information.

Keyword based search is a pain when different products have similar names or the internal search doesn't filter words like "of" and "and" from the keyword search.

After that, if the tests work and i can push the idea forward, it'll probably be OpenAI + a local vector DB (Chroma?) + custom made search page for internal usage