​
Feature Highlights

​
Deep research over your team’s knowledge

The first step to world-class documentation is setting up your editing environments.

​
Use Hymalaia as a secure AI Chat with any LLM

See LLM configuration options here

​
Easily set up connectors to your apps

Check out all of the connectors here

​
Access Hymalaia where your team already works

Set up Hymalaia Bot in Slack, directions here

​
Other Notable Benefits of Hymalaia

  • Custom deep learning models for indexing and inference time, only through Hymalaia + learning from user feedback.
  • Flexible security features like SSO (OIDC/SAML/OAuth2), RBAC, encryption of credentials, etc.
  • Knowledge curation features like document-sets, query history, usage analytics, etc.
  • Scalable deployment options tested up to many tens of thousands users and hundreds of millions of documents.

​
Roadmap

  • New methods in information retrieval (StructRAG, LightGraphRAG, etc.)
  • Personalized Search
  • Organizational understanding and ability to locate and suggest experts from your team.
  • Code Search
  • SQL and Structured Query Language

​
Deployment

Hymalaia can also be run locally (even on a laptop) or deployed on a virtual machine with a single docker compose command. Visit the quickstart page to learn more.

Hymalaia also has built-in support for high-availability/scalable deployment on Kubernetes. Kubernetes manifests and helm charts are available here.

​
Feature Highlights

​
Deep research over your team’s knowledge

The first step to world-class documentation is setting up your editing environments.

​
Use Hymalaia as a secure AI Chat with any LLM

See LLM configuration options here

​
Easily set up connectors to your apps

Check out all of the connectors here

​
Access Hymalaia where your team already works

Set up Hymalaia Bot in Slack, directions here

​
Other Notable Benefits of Hymalaia

  • Custom deep learning models for indexing and inference time, only through Hymalaia + learning from user feedback.
  • Flexible security features like SSO (OIDC/SAML/OAuth2), RBAC, encryption of credentials, etc.
  • Knowledge curation features like document-sets, query history, usage analytics, etc.
  • Scalable deployment options tested up to many tens of thousands users and hundreds of millions of documents.

​
Roadmap

  • New methods in information retrieval (StructRAG, LightGraphRAG, etc.)
  • Personalized Search
  • Organizational understanding and ability to locate and suggest experts from your team.
  • Code Search
  • SQL and Structured Query Language

​
Deployment

Hymalaia can also be run locally (even on a laptop) or deployed on a virtual machine with a single docker compose command. Visit the quickstart page to learn more.

Hymalaia also has built-in support for high-availability/scalable deployment on Kubernetes. Kubernetes manifests and helm charts are available here.