What is Embed Anything?
Our model embeds any file format with Llama embeddings, then applies UMAP for 3D dimensionality reduction, clusters with KNN, and allows querying through our model. We visualize with three.js and connect via FastAPI.
Problem
Users need to embed and process various file formats for RAG applications but rely on fragmented tools for embedding, dimensionality reduction, clustering, and visualization. Fragmented tools lead to inefficiency and complexity.
Solution
A unified AI tool that combines embedding, processing, and visualization. Users can embed any file format with Llama, apply UMAP/KNN, and visualize 3D clusters via an integrated API and interface.
Customers
Data scientists and machine learning engineers building RAG systems, requiring end-to-end embedding pipelines.
Unique Features
End-to-end processing (embedding to 3D visualization) for multiple file formats, integration of Llama embeddings with UMAP/KNN, and real-time querying via FastAPI.
User Comments
Simplifies RAG workflows
Effective clustering for diverse data
Intuitive 3D visualization
Steep learning curve for non-technical users
Limited documentation
Traction
Launched on ProductHunt in June 2024, 1.2k+ upvotes, 500+ active users, integrated into 3 open-source RAG projects, founder has 2.5k followers on X.
Market Size
The global AI in big data analytics market is projected to reach $50 billion by 2027 (MarketsandMarkets, 2023).
