Is the Langdock platform GDPR (DSGVO) compliant?

Yes. Langdock is engineered from the ground up for enterprises where data privacy and compliance are paramount. Our platform is designed to help you meet your GDPR obligations with configurable data retention policies, network-level controls like IP allow-listing, the ability to use your own LLM keys (BYOK), SAML/SCIM integration, and comprehensive audit logs.

How does Langdock protect the security and confidentiality of company data?

Langdock employs a multi-layered, defense-in-depth security strategy. This includes isolated infrastructure components, firewalled and isolated databases, encrypted storage with versioning, role-based access controls (RBAC), support for using your own LLM API keys, IP allow-listing, tamper-proof audit logs, and SAML/SCIM identity federation. We are ISO 27001 and SOC 2 Type II certified with regular penetration testing.

Which large language models (LLMs) can we access through Langdock?

Langdock provides access to models from OpenAI, Google, Anthropic, Mistral, Meta, and supports self-connecting any other model provider. You can select any model on a per-assistant basis or set a workspace default, giving you the flexibility to choose the best-performing LLM for any use case.

What makes Langdock a better alternative to ChatGPT or Microsoft Copilot for businesses?

Langdock is model-agnostic allowing freedom to use models from any provider, offers private cloud deployment options, custom AI assistants with agentic workflow automation, 40+ integrations, and compliance-ready features with configurable data retention and detailed audit logs. All data processing happens in European data centers.

Can Langdock integrate with Microsoft 365, SharePoint, or Confluence?

Absolutely. Our flexible integration framework provides native connectors for Microsoft 365, SharePoint, Confluence, and over 40 other tools, allowing you to securely sync your documents and data, making your existing knowledge instantly searchable and available to your AI assistants.

Do you offer an on-premise or private-cloud deployment?

Yes. For organizations with strict data residency or control requirements, Langdock can be deployed into a dedicated, private cloud environment. This provides maximum data control and isolation, ensuring no resources are ever shared.

Changelog

We're constantly working on new features and improvements. Here's what's new with Langdock.

Nov 5, 2024

Canvas

Introducing Canvas

We're excited to launch Canvas, a new feature in Langdock that enhances your writing and coding tasks. Canvas offers an interactive window where you can edit text and code directly, receive AI suggestions, and collaborate more effectively.

Highlights:

Inline Editing: Easily make changes and get AI suggestions.
Coding Tools: Review, and fix code seamlessly.
Writing Enhancements: Adjust text tone and style with ease.

Canvas is now available for all Langdock users.

Custom embedding models for Vector DB: When connecting to custom Vector DB’s, users can now configure which embedding model to use for converting the search queries.
Added a Search endpoint for knowledge folders: Made our knowledge folder API more useful, with an easy way to search through uploaded content.
Increased max-length on prompt-inputs to 120,000 characters.
Scrolling stability improvements for answer generations: Streaming & scrolling is now super smoooooth…
Added “Request access” capability for workspaces: Improving the onboarding process for new users and admins.
Added a consistent breadcrumb navigation to all subpages.

Oct 30, 2024

Actions

Assistants can now talk to other software tools like Jira or Salesforce via actions.

Actions

Assistants can now perform API calls to external tools, opening up many integration possibilities with CRMs, ticket management tools, or internal APIs. Check out our Actions documentation for details, including specialized guides for Jira, Google Drive, and Salesforce.

Quote parts of a response: With our new quote feature, you can now easily reference specific parts of previous model responses by selecting the text and clicking the quote button to include it in your next prompt.
We renamed “data folders” to “knowledge folders”: You can upload up to 1,000 files in a knowledge folder and use the files in an assistant.
API for knowledge folders: You can now programmatically upload files and set up daily jobs to keep your folders up to date. See our documentation.
Support for .json, .xml, .vtt, .xls files: We added support for several new file formats to support more use cases within Langdock.
Custom legal disclaimers: Admins can set up custom legal disclaimers for sharing assistants. See workspace settings here.

Oct 29, 2024

OpenAI o1 Models

We added the latest OpenAI models, o1 and o1 mini. Admins can enable them in the model settings. As a heads up, these models are thinking models but not replacements for all tasks. The o1 models are better at reasoning and complex thinking tasks, like math, data analysis, or coding, than previous models, but not at knowledge retrieval, text generation, or translation. This is because they will take a comparatively long time to start writing their answer since they are thinking in the background first. You can read more about this in our model guide.

Oct 28, 2024

Assistants Infocards

Users now have more insights into the assistants they use. When clicking on an assistant in the assistant list, users see a pop-up with high-level information about the assistant, such as whether web search is enabled or which model is used.

Oct 27, 2024

Changelog

We''ve added a changelog to the product and our website to inform you about new features and improvements. A pop-up will appear at the bottom left of the product whenever we launch a significant new feature. You can click on it to learn more and also discover all the other features we launched since the last update.