"We were building something similar in house, but then we found Danswer". That's something we keep hearing all the time :D (1) We handle chunking, embedding, b

"We were building something similar in house, but then we found Danswer". That's something we keep hearing all the time :D (1) We handle chunking, embedding, building the keyword search index, etc. all on our end! We use Vespa as both our Vector DB / Search Engine (it allows a custom hybrid search, which we've found to perform really well). So no, you would not need to bring your own Vector DB - everything needed to run the system is managed dockerized and managed by Docker compose / kubernetes (whichever you choose). (2) It would be straightforward! We both offer an API to ingest documents into the system as well as a pretty simple connector interface that you can implement to add your own custom connector (https://github.com/danswer-ai/danswer/blob/main/backend/danswer/connectors/interfaces.py#L45 https://github.com/danswer-ai/danswer/blob/main/backend/dans...)