AI at work · Put knowledge to use
Your business knows more. Put that knowledge to work.
Answers sit across databases, files and documents. lavalake brings these sources together so your team can ask questions with AI, find knowledge and take analysis further.
A shared knowledge base for business teams, analysts and AI.
- Connect sources
- Organize knowledge
- Use the answers
AI for business data
Ask in your own words
Use the AI assistant to ask about your data. The semantic layer provides shared metric definitions that further analysis can build on.
Find knowledge in context
Hybrid search combines keywords with semantic similarity, making documents useful even when their wording differs from the question.
Choose your AI
Connect a supported model provider or a model you operate yourself. Choose the self-hosted connection to keep conversations inside your network.
Put it to work
From financial reporting to internal knowledge search
Finance investigates metric variances. Sales explores customer and revenue data. Business teams search documents for information relevant to their work. The shared platform connects these workflows with SQL and existing BI tools.
Turn distributed knowledge into a shared foundation
Connect sources
Bring databases, files and documents into lavalake.
Organize knowledge
Define metrics, make content searchable and set access permissions.
Use the answers
Ask follow-up questions, investigate results and create dashboards for your team.
Your questions, answered
Which business data can I use?
lavalake connects databases, files, documents and MCP sources. The integration documentation describes the available connectors and supported formats.
Can AI run entirely inside our network?
Yes, using a self-hosted model through the supported connection and a local search configuration. With an external model provider, content used in the chat is sent to that provider. Choose the model that fits your deployment.
Do business users need SQL skills?
Using the assistant and search does not require writing SQL. Analysts can work with SQL alongside them and provide shared metrics for the team.
What would you like to ask your data?
Let's explore your data sources, your use case and the right starting point together.