Lab Knowledge Explorer is an AI-powered knowledge retrieval system built for scientific organizations. It helps researchers find and organize information buried across lab notebooks, meeting notes, presentation decks, experimental reports, and other scientific documents.Instead of searching through dozens or hundreds of files manually, researchers can ask about a construct, experiment, assay, vector, project, or scientific topic and quickly find the relevant evidence.?
ou can ask questions the way a scientist naturally thinks about a project.
For example:
The system organizes the relevant information and presents the underlying source excerpts so researchers can see the evidence behind the answer.
Traditional document search finds files. Lab Knowledge Explorer finds scientific evidence.
A keyword search may tell you which documents contain a particular phrase. Lab Knowledge Explorer goes further by recognizing scientific entities such as constructs, vectors, assays, experiments, and projects, and connecting related information across different documents.
This makes it possible to follow the story of a construct or experiment across meeting notes, presentations, notebooks, and reports — even when the information is spread across many files.
Lab Knowledge Explorer is designed for evidence discovery, not unsupported scientific conclusions.
Every retrieved result is connected to its source, allowing researchers to review the original document and relevant excerpts. The system can organize evidence and surface explicitly documented decisions or observations, but it does not attempt to invent scientific conclusions or reconstruct decisions that were never recorded.
That means researchers can move quickly without losing the ability to verify what was actually documented.
We will start by building a Scientific Wiki — a structured, searchable home for an organization’s scientific knowledge.
The Wiki will bring together key information about constructs, experiments, assays, vectors, projects, researchers, and other scientific concepts in one place. It will provide a foundation for organizing knowledge that is currently scattered across lab notebooks, reports, presentations, meeting notes, and other documents.
From there, Lab Knowledge Explorer will make that knowledge discoverable. Researchers will be able to search across the Wiki and underlying source documents, follow connections between scientific entities, and retrieve the evidence behind what they find.
The goal is to create a system that first organizes scientific knowledge, and then makes that knowledge easy to explore, connect, and retrieve.
Any scientific organization where important knowledge is distributed across documents can benefit from it.
It is particularly suited to:
It is especially valuable when scientific knowledge accumulates faster than people can realistically keep track of it.
Lab Knowledge Explorer turns scattered documentation into a searchable scientific knowledge base.
Researchers can spend less time hunting through folders and documents and more time understanding what has already been done, what has been observed, and where the relevant evidence can be found.
By bringing together discussions, experiments, assay results, researchers, and documents around the scientific entities that matter, Lab Knowledge Explorer helps organizations preserve institutional knowledge and make it easier to discover.
