Danswer
9.2k 986What is Danwser ?
Danswer is an OpenSource Enterprise Question-Answering allowing you to ask natural language questions against internal documents and get back reliable answers backed by quotes and references from the source material so that you can always trust what you get back. You can connect to a number of common tools such as Slack, GitHub, Confluence, amongst others.
Danswer Features
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Direct QA + Chat powered by Generative AI models with answers backed by quotes and source links.
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Intelligent Document Retrieval (Hybrid Search + Reranking) using the latest NLP models.
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Automatic time/source filter extraction from natural language + custom model to identify user intent.
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User authentication and document level access management.
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Support for LLMs of your choice (GPT-4, Mixstral, Llama2, etc.)
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Management Dashboards to manage connectors and set up features such as live update fetching.
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One line Docker Compose (or Kubernetes) deployment to host Danswer anywhere.
How to use Danswer ?
Danswer provides a fully-featured web UI:
https://github.com/danswer-ai/danswer/assets/32520769/563be14c-9304-47b5-bf0a-9049c2b6f410
Or, if you prefer, you can plug Danswer into your existing Slack workflows (more integrations to come 😁):
https://github.com/danswer-ai/danswer/assets/25087905/3e19739b-d178-4371-9a38-011430bdec1b
For more details on the admin controls, check out the Full Video Demo :
Deploy Danswer
Danswer can easily be tested locally or deployed on a virtual machine with a single docker compose command. Checkout our docs to learn more.
We also have built-in support for deployment on Kubernetes. Files for that can be found here.
Danswer Connectors
Efficiently pulls the latest changes from:
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Slack
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GitHub
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Google Drive
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Confluence
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Jira
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Zendesk
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Notion
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Gong
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Slab
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Linear
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Productboard
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Guru
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Zulip
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Bookstack
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Document360
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Request Tracker
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Hubspot
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Local Files
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Websites
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With more to come…
