Mims Harvard Atomica
Domain-specific embeddings for biomedical text.
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01
What is Atomica?
Atomica encodes scientific and biomedical text into vectors for retrieval and clustering.
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Technical Specifications
Context Window
Not specified
Max Output
Not specified
Training Cutoff
Not specified
Active
Active
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Capabilities
Embeddings
Semantic search
Clustering
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Pros & Cons
Pros
- Domain relevance
- Vector DB friendly
- Scales to corpora
Cons
- Not a chat model
- Domain-specific
- Not specified
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Features
01
Domain Focus
Biomedical terminology support.
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Vector Search
Improve retrieval quality.
03
RAG Ready
Use in domain pipelines.
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Use Cases
01
Literature Search
Search scientific papers.
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Entity Linking
Match biomedical concepts.
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RAG for Science
Domain assistants.
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