Feder - Visualize embedding vectors with ease using Feder.

Feder

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Visualize embedding vectors with ease using Feder.

Pitch

Feder is a JavaScript tool for visualizing index files from Faiss, HNSWlib, and other ANN libraries. It helps users understand high-dimensional vector embeddings through insightful visualizations, making it easier to grasp how these libraries function. With support for both web and IPython environments, Feder is a versatile solution for data scientists.

Description

Feder is an innovative JavaScript tool designed to enhance your understanding of embedding vectors by providing visualizations of index files from popular libraries like Faiss and HNSWlib. This project empowers users to delve into the inner workings of high-dimensional vector embeddings, particularly focusing on the IVF_FLAT index type from Faiss and the HNSW index type from HNSWlib.

With Feder, users can seamlessly generate intuitive visual representations of their index data, which can be displayed directly in an IPython environment or as HTML files for convenient browser viewing.

Key Features:

Visualizations tailored for HNSW and IVF_FLAT index types.
Support for direct embedding vector visualizations through Feder and a supplementary Python library (federpy).
Easy integration with just a few lines of code to visualize complex data structures.
Multiple output options for visualizations to suit various environments.

Start Exploring:

Check out our online demos to see Feder in action, or dive into the provided Usage Wiki for detailed instructions.

Practical Use Cases:

From image recognition to search applications, Feder allows users to:

Visualize index structures with ease:
```
feder.overview();
```

Explore the search process interactively:

feder.setSearchParams({
    k: 8,
    ef: 100,
    nprobe: 8,
}).search(target_vector);

Manage large datasets effectively through server solutions for optimizing memory and computation requirements.

Artistic and Practical Visualization Examples:

Access a detailed HNSW visual layout to understand clustering.
View screenshots showcasing the HNSW and IVF_Flat visualizations:
Explore more blog posts about Feder's application in enhancing image search capabilities.

Join Our Journey:

As we continue to develop Feder, future updates will introduce additional ANN index types and enhance features for unstructured data visualization. Stay tuned for exciting new functionalities!