Maybe I'm misunderstanding what exactly a vector db is.
Let's say you have a chatbot and stored in its database is the usual info like session id, timestamp, message etc. To "vectorize" this db then would be to vectorize all the messages. Is this too simple an understanding?
Once the db has been vectorized then we can do semantic search on the messages and create more informative graphs based off the semantic similarity for messages within a given timeframe or other criteria.
Let's say you have a chatbot and stored in its database is the usual info like session id, timestamp, message etc. To "vectorize" this db then would be to vectorize all the messages. Is this too simple an understanding?
Once the db has been vectorized then we can do semantic search on the messages and create more informative graphs based off the semantic similarity for messages within a given timeframe or other criteria.