- SciBite
- SciBite Chat
SciBite Chat
Creating trust and traceability in knowledge discovery
SciBite Chat, generative AI coupled with ontology-driven semantic search to enable users to have a “conversation with their data,” reducing search time and providing evidence-backed answers for actionable insights.
Designed for trust and traceability to eliminate hallucinations, while creating transparency.
Introducing SciBite Chat
SciBite Chat adds a new interface to SciBite Search that uses the power of GenAI combined with that of ontology-driven semantic search to enable customers to “have a conversation with their data.” The tool provides evidence-backed answers to scientific questions – enabling users to perform sophisticated interrogations of their data without specialist knowledge.
SciBite Chat is set to transform the way researchers access and interpret vast amounts of biomedical data, offering a more efficient, accurate, and user-friendly search experience. As part of SciBite Search, the tool aligns GenAI and semantic data to deliver transparent, explainable, and reproducible answers to complex scientific questions in an interactive fashion.
Accuracy, Transparency, and Flexibility
Founded on the vision to answer complex scientific questions simply, SciBite Chat offers semantic search for enhanced recall and precision, releasing this capability for collaborative testing in life sciences.
We are leaning on our domain expertise and providing greater transparency and understanding to information retrieval in GenAI search.
Search Definitions
Search Clinical Development
Search Therapies
Search People
Search Safety
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Accuracy
Tried & Tested - Built on award-winning, established scientific search technology.
Transparency
Human explainability for question interpretation and answer generation. Permissions aware – you only get the answers based on the documents you're entitled to see.
Flexibility
Extending the system to your world. Semantic search delivers improved recall and precision at a reduced cost. Designed to minimize hallucinations, while creating transparency.
SciBite Chat Core Features
SciBite Chat is a conversational experience feature in SciBite Search, powered by GenAI that quickly answers scientific questions while providing a traceable route to the reference data sources.
Transparency
Highlighted sentences in the reference document
Source selection
Integration of multiple
data sources
Domain-specific ontologies
Semantically enriched,
machine-readable data
The highlighting feature distinguishes it from other offerings, making it easy for users to identify the source of information within the text. It is only possible because of the power of TERMite.
Integration of various data sources, providing a comprehensive & nuanced search experience for users in the scientific field. Searching a variety of data sources, among Medline, Elsevier data (e.g., Embase, Science Direct), PDFs, and clinical trial data.
Built from domain-specific ontologies that are tried and tested over time. This enhances operational efficiency and is more cost-effective compared to vectorizing all data.
Ask filtering questions
Users “have a conversation with their data”
Security & privacy
Benefits from the document-level security
Configurable
Switch AI models and customize vocabularies
Users can delve deeper into the data by asking follow-up questions that can either focus on specific details, lead to new insights, or broaden to reveal new details, such as “the top authors in a field of interest”.
While questions are processed externally, user data remains secure, and using Microsoft Azure’s implementation of OpenAI guarantees that data processed by generative AI is not logged or retained.
Easy to swap to other Open AI models and tweak vocabulary preferences used within the formulation of the semantic query for optimal explainable results
Plug & play
Customizable & tailored to your specific needs
Ease of use
User interface that supports natural language queries
Operational efficiency
The use of tried-and-tested search technology
The SciBite Chat interface is founded on a flexible API that can be directly integrated into existing systems.
User-friendly chat-based interface that doesn't require users to know complex search syntax or API calls.
Using tried-and-tested search technology without relying on opaque vector embeddings provides operational advantages, making the system more cost-effective and faster than other methods.
Take the next step...
Contact us to discuss your requirements or read a more in-depth description of SciBite Chat