Knowledge Map
Deconstruct a paper into its structure.
Reveal argument structure, causal effects, process flows, relationships, timelines and more with multi-level zoom.
Map your research
The visual and verifiable workspace for understanding research.
Chat with a paper
Understand a paper deeply.
Open a paper's Knowledge Map, ask a question, and trace the answer back to the exact passage.
Chat with your library
Synthesize across your library.
See how your sources connect on a Semantic Map, ask across the project, and save the cited result.
Chat with the literature
Explore the wider literature.
Search 200M+ papers from your research question, inspect the matches, and add relevant sources to your project.
Visualize and verify your research.
Semantic Map
Visualize research from new angles.
Explore your literature from different angles and perspectives to uncover new insights.
Chat
Ask questions with grounded citations.
Multi-step reasoning across your papers, every claim explained with its source.
Citations
Trace claims back to their source arguments.
Every citation is auto-indexed on import, with a breakdown of how it justifies the claim.
Connect your research in one workspace.
Searching for relevant papers.
Found 3 papers.
Reading 3 papers.
Attention Is All You Need.pdfBERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.pdfTransformer-XL: Attentive Language Models Beyond a Fixed-Length Context.pdf
Done
Synthesize across sources
Compare findings across papers and turn the pattern into an inspectable map.
Ask across your project
Ask questions over your sources and inspect the citation trail behind each answer.
Attention Is All You Need
Defines attention as mapping a query and key-value pairs to an output.
“An attention function can be described as mapping a query and a set of key-value pairs to an output.”
Trace every claim
Move from an answer or map node back to the exact passage that supports it.
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio
CoRR · 2014
Introduces an attention-based encoder-decoder model that soft-searches source-sentence parts while generating translations, reducing the fixed-vector bottleneck in neural machine translation.
Read citations in context
See what each cited paper contributes to the argument you are reading.
Connect your research
Keep sources, notes, questions, and maps linked inside one research workspace.
Attention Notes
Attention compares queries with keys, then weights values to build context from Attention Is All You Need.pdf.
According to Yannic Kilcher, attention is how each token looks across the sequence before choosing what to carry forward.
Write notes with links
Turn highlights and ideas into notes that stay attached to their evidence.
Review notes and maps
Export notes and download knowledge maps when you need to use your work elsewhere.
Searching for relevant papers.
Found 3 papers.
Reading 3 papers.
Attention Is All You Need.pdfBERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.pdfTransformer-XL: Attentive Language Models Beyond a Fixed-Length Context.pdf
Done
Synthesize across sources
Compare findings across papers and turn the pattern into an inspectable map.
Ask across your project
Ask questions over your sources and inspect the citation trail behind each answer.
Attention Is All You Need
Defines attention as mapping a query and key-value pairs to an output.
“An attention function can be described as mapping a query and a set of key-value pairs to an output.”
Trace every claim
Move from an answer or map node back to the exact passage that supports it.
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio
CoRR · 2014
Introduces an attention-based encoder-decoder model that soft-searches source-sentence parts while generating translations, reducing the fixed-vector bottleneck in neural machine translation.
Read citations in context
See what each cited paper contributes to the argument you are reading.
Connect your research
Keep sources, notes, questions, and maps linked inside one research workspace.
Attention Notes
Attention compares queries with keys, then weights values to build context from Attention Is All You Need.pdf.
According to Yannic Kilcher, attention is how each token looks across the sequence before choosing what to carry forward.
Write notes with links
Turn highlights and ideas into notes that stay attached to their evidence.
Review notes and maps
Export notes and download knowledge maps when you need to use your work elsewhere.
Loved by 5,000+ researchers
“Atlas is beautiful and thoughtfully made.
As a researcher, I really appreciate being able to explore and interrogate any source type in depth through Atlas's chat and knowledge map functions.
The citations function is SO helpful, as I get to trace the precise quotes/content from my chat conversations back to exactly where they are mentioned in each source.”
He Shiying
Research Assistant at Duke-NUS Global Health Institute
“Atlas is beautiful and thoughtfully made.
As a researcher, I really appreciate being able to explore and interrogate any source type in depth through Atlas's chat and knowledge map functions.
The citations function is SO helpful, as I get to trace the precise quotes/content from my chat conversations back to exactly where they are mentioned in each source.”
He Shiying
Research Assistant at Duke-NUS Global Health Institute
“Atlas has been a real time-saver for me. I'm not some AI expert or data scientist - I just needed a tool to help me wade through the sea of articles I come across daily. What I love about Atlas is how it gives me the gist of an article in seconds.”
Walter Tay
Co-founder at Knoyo Health
“TLDR: Saves time, summarizes well. My personal favourite use case is to ask it to summarize YouTube videos so that I can decide whether to watch it. It can perform off-the-shelf RAG over multiple websites and even WhatsApp / Telegram Web chats.”
John Tan Chong Min
Head of AI at KiteEdge
“WHAT THE HECK DID YOU CREATE. It's like an ultimate GPT. I was actually quite surprised how the AI pulled so many concepts tgt. I think it's a huge addition to many super users of GPT. Excited to use it for my own research!”
“As a software engineer in a big company that has to read lots of documentation, this helps me summarize multiple fragmented docs to get me up to speed on the domain I'm working on - in a fraction of the time.”
Gene Chua
Software Engineer at TikTok
“Atlas is constantly trying to push the boundaries of information and interaction design using innovative visual forms.
Using Atlas has not only given me a clear mental model to synthesize and consolidate information, but also an enjoyable and tactile feedback loop to generate original ideas.”
“Atlas is constantly trying to push the boundaries of information and interaction design using innovative visual forms.
Using Atlas has not only given me a clear mental model to synthesize and consolidate information, but also an enjoyable and tactile feedback loop to generate original ideas.”
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