Synthesis with Sources
Generate structured scientific literature with verifiable sources
NeoPhi analyses a selected corpus of scientific publications and generates a structured answer to your research question. Citations connect the synthesis to its underlying sources, allowing you to review the evidence and verify the original publications.
What is a source-grounded scientific synthesis?
A source-grounded scientific synthesis is a structured answer created from an identified corpus of scientific publications, with citations that allow readers to verify the evidence behind the answer.
NeoPhi combines information from the publications selected during the search process and organises it around the user’s research question. Rather than producing an answer disconnected from its evidence, the platform maintains links between the synthesis and the original scientific sources. Researchers can use the synthesis to understand the main findings of a corpus, identify relevant publications and decide which sources require closer examination.
The synthesis is the last step of a complete workflow: find the scientific publications for your question and explore how the selected papers are connected before generating the answer.
Synthesize across publications
Move from individual papers to a structured research answer
- Analyse multiple publications around one research question
- Information organised into readable sections, not a wall of text
- Maintain a global view of the selected corpus
- Identify the papers that require deeper review
Verify the evidence
Trace cited information back to its scientific source
- Identify the publication supporting a statement
- Return to the source and its metadata directly from the synthesis
- Review the original context before using the information in a report or academic document
- Maintain a traceable research process from question to answer
Continue your workflow
Review, refine and export your research
- Refine the original research question and regenerate an updated synthesis
- Return to the publication corpus to investigate specific findings
- Export the available results and references for analysis, collaboration or documentation
The interface allows users to refine a topic, define a range of years, and keep a history of queries for easy access (…) particularly useful for students and teachers involved in research projects.
Scientific answers require inspectable evidence
Keep the sources visible throughout the synthesis process
- The synthesis is generated from an identified publication corpus
- Citations connect the answer to scientific sources
- Publications remain available for manual verification
- Researchers retain responsibility for interpretation and validation
NeoPhi is impressively efficient and an excellent research tool across all fields.
Generic AI summary vs. source-grounded synthesis
Generate an answer without separating it from the evidence
| Generic AI assistant | NeoPhi sourced synthesis | |
|---|---|---|
| Source corpus | May be undefined or mixed with general model knowledge | Built from an identified scientific publication corpus |
| Citations | May be absent or difficult to verify | Connected to the publications used in the synthesis |
| Scientific search | Usually separate from answer generation | Search and synthesis are part of the same workflow |
| Verification | Requires manually locating possible sources | Supporting publications can be reviewed from the result |
| Refinement | Primarily prompt-based | Question, filters and publication corpus can be refined |
| Research use | Useful for general exploration | Designed for traceable scientific exploration |
Source corpus
Citations
Scientific search
Verification
Refinement
Research use
Semantic Search
Search, explore, synthesize. Every step is designed to answer a researcher’s concrete question — not to raise new ones.
Natural-language queries
Explore semantic searchKnowledge graph
Explore relationships within your publication corpus: concepts, papers and research directions on one map.
Connected context
Explore the knowledge graphSynthesis with sources
Turn the connected corpus into a cited synthesis you can verify publication by publication.
Source-grounded
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FAQ
What is an AI research synthesis with citations?
An AI research synthesis with citations combines information from several scientific publications into a structured answer and provides references that allow the user to inspect the supporting sources.
How does NeoPhi generate a scientific synthesis?
NeoPhi generates the synthesis from the scientific publications selected through the search and filtering workflow. The content is organised around the user’s research question and connected to the publications used as sources.
Can I verify the sources used in the synthesis?
Yes. NeoPhi is designed to maintain a traceable connection between the generated synthesis and its supporting scientific publications, allowing users to review the original source and its bibliographic information.
Does NeoPhi write a complete literature review automatically?
NeoPhi accelerates literature exploration and scientific synthesis, but it does not replace the researcher’s methodology, critical analysis or responsibility for the final literature review. Researchers should validate source selection, assess study quality and verify the interpretation of the evidence.
What is the difference between a summary and a scientific synthesis?
A summary reduces the content of one document or a small set of documents. A scientific synthesis brings together information from multiple publications around a research question, while highlighting how the evidence contributes to the overall answer.
Can the synthesis be exported?
The available synthesis, references and research outputs can be exported according to the export options provided by NeoPhi. The exported material should still be reviewed before being used in an academic, scientific or professional deliverable
Can NeoPhi guarantee that every generated statement is correct?
No AI-assisted research system should replace source verification and expert judgment. NeoPhi improves traceability by connecting the synthesis to scientific publications, but users remain responsible for checking the original evidence, context and methodological quality of the sources.
Is my research data used to train AI models?
No. NeoPhi does not train AI models on user data, complies with GDPR, and offers deployment options designed for institutions that require strict data isolation.