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Danswer

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Danswer, now known as Onyx, is a self-hosted enterprise search tool that retrieves permission-filtered answers from over 50 internal sources.

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Danswer

Danswer Product Information

What is Danswer?

Danswer, now operating as Onyx, is an open-source enterprise search and AI assistant that connects to internal knowledge sources to provide context-aware answers. It is designed for teams requiring self-hosted deployments where documents, embeddings, and model traffic remain within their own infrastructure. The platform supports continuous synchronization across more than 50 enterprise connectors while enforcing source permissions at query time.

What are the features of Danswer?

  • Parallel enterprise search
    Queries indexed sources such as GitHub, Drive, Slack, and Confluence simultaneously rather than sequentially, returning permission-filtered results.
  • Self-hosted deployment
    Runs on AWS, GCP, Azure, Kubernetes, bare metal, or fully air-gapped environments with no external third parties.
  • Permission enforcement
    Applies the access controls from each connected source at query time so users only see documents they are authorized to view.
  • Model routing
    Allows swapping LLM providers in one click, routing different teams to different models, or running open-weight models on local GPUs.
  • Continuous synchronization
    Maintains up-to-date indexes across more than 50 supported enterprise connectors.
  • Agent integration
    Exposes a search tool via MCP (onyx-mcp) that agents can call to retrieve permission-aware passages from specified sources.

What are the use cases of Danswer?

  • Internal cost anomaly investigation
    Searching parallel sources like GitHub PRs, Slack channels, and cloud cost exports to identify specific infrastructure issues, such as an untorn-down cluster causing billing spikes.
  • Launch readiness tracking
    Querying product and engineering workspaces to surface remaining open items, target dates, and required reviews for upcoming releases.

How to use Danswer?

  1. Ask a question in the workspace
    Type a query into the Onyx chat interface to search across synchronized internal sources.
  2. Review the generated answer
    Read the response alongside cited passages drawn from tools like Confluence, Slack, or Drive.
  3. Ask a follow-up
    Continue the conversation in the same thread to refine the context or request additional details.

Danswer Pricing Information:

  • Free trial
    A "Try for Free" option is available on the website; specific feature limits or duration are not stated.
  • Enterprise demo
    A "Book a Demo" option is provided for teams evaluating the platform; pricing details are not disclosed in the source.

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Danswer Related Other Categories

Danswer Traffic Analysis

Website traffic estimates for onyx.app. Visits are not unique users or product usage.

Data month: 2026-10

💡 Insights

⭐
Medium Scale
Estimated monthly visits exceed 100,000 and are at most 1 million.
⚠️
Slight Decline
Estimated visits decreased 5.6% from the previous month.
👍
Bounce rate below 60%
The estimated bounce rate is 48%.
🔎
Search-led traffic
Search accounts for 60% of estimated visits.
  • Monthly Visits

    237.00K

  • Bounce Rate

    47.52%

  • Pages Per Visit

    2.35

  • Visit Duration

    00:00:55

  • Global Rank

    189904

  • Country Rank

    187969

Visits Over Time

Traffic Sources

Search Organic59.89%
Direct26.92%
Referrals9.33%
Social Organic1.90%
Gen Ai0.98%
Mail0.49%
Social Paid0.27%
Search Paid0.22%
Affiliate0.00%
Display Ads0.00%

Top Keywords

1
onyx
CPC$0.75
10.20KTraffic
2
onyx ai
CPC$5.90
2.54KTraffic
3
onyx app
CPC$4.01
1.27KTraffic
4
llm benchmark
CPC$2.60
1.18KTraffic
5
best local llm
CPC$4.35
890Traffic

Top Regions

RegionPercentage
United States
United States
25.02%
India
India
6.03%
Taiwan
Taiwan
4.60%
Germany
Germany
4.56%
Indonesia
Indonesia
4.23%
Low
High

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Danswer FAQ

Does Danswer (Onyx) send my company's data to external servers?

No. The vendor states that the index, embeddings, and model traffic stay entirely inside your infrastructure, and no training occurs on your data by anyone.

Can I use different AI models for different teams?

Yes. The platform allows administrators to route each team to a different model or run open-weight models on local GPUs.

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