# Feder

> Visualization tool for ANNS (Approximate Nearest Neighbor Search) algorithms enabling users to observe index structures, parameter configurations, and the complete vector similarity search process.

- **URL:** https://github.com/zilliztech/feder
- **Category:** LLM Tools
- **Tags:** Visualization, Ann, Hnsw
- **Updated:** 2026-03-13 12:21
- **Canonical page:** https://vectordb.ever.works/ja/items/feder

## Details

## Overview

Feder is a tool for visualizing ANNS (Approximate Nearest Neighbor Search) algorithms. It enables users to observe how different indexes are structured and how parameter configuration influences indexing structure.

## Key Features

### Index Visualization

Helps visualize the whole process of vector similarity search with detailed data access records, allowing developers and researchers to understand how different ANNS algorithms work internally.

### Parameter Configuration

Enables users to observe how parameter configuration influences indexing structure, helping optimize vector search performance.

## Current Support

Currently only supports HNSW from hnswlib, with more indexes coming soon.

## Use Cases

- Understanding ANNS algorithm behavior
- Optimizing index parameters
- Educational purposes for learning vector search
- Debugging vector search implementations

## Pricing

Free and open-source.

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