Demo video: https://www.youtube.com/watch?v=6cDiv-TShh4

Code here: https://github.com/danswer-ai/danswer

Setup docs: https://docs.danswer.dev/quickstart

Danswer is self-hostable and comes ready to use out of the box with a UI, admin features, 20+ auto-syncing connectors, and user/access management. All your data is persisted on-prem and you can easily customize it to hook up to any LLM provider of your choice (though we recommend GPT-4 for best results).

As you ask questions, the system runs retrieval as needed to fetch relevant documents and uses GenAI to help you find the answers you’re seeking. You can also select specific documents to chat with at any point and deselect them when you want the system to run more retrievals. You can further refine your search by applying time and source type filters.

With Danswer you can also create document-sets for specific use cases. You can easily group together knowledge for different purposes like onboarding, HR answers, team specific knowledge, finance, etc. You can combine different sources at different granularities such as creating a document-set which is a combination of Slack channels + some set of Google Drive Folders + some workspaces from Confluence, etc. You get the picture.

Finally, just like GPTs, you can configure custom prompts and create different assistants for varied tasks like debugging, summarizing, generating content, all while pulling in the context documents you want to include. Out of the box, Danswer comes with several pre-configured general use assistants.

You can use Danswer to improve your operational efficiencies for any team that needs it. We’ve seen users use it for onboarding, customer support, cross-team communications, sales-call prep, and as an engineering assistant.

We also have a Slack (https://join.slack.com/t/danswer/shared_invite/zt-1u3h3ke3b-...) and a Discord (https://discord.gg/TDJ59cGV2X) community. Always looking forward to user feedback as this helps us improve our software! See you there :)