Paralelní zpracování techniky Hierarchical Navigable Small Worlds.

npm package to facilitate Weaviate vector DB queries | Documentation WIP

Custom implementation of HNSW index and benchmarks against original implementation.

Efficient nearest neighbor search in Swift

An R package for blocking records for record linkage / data deduplication based on approximate nearest neighbours algorithms.

Fast vector search for SQLite

This project is a reference implementation of the Hierarchical Navigable Small World graph paper by Malkov & Yashunin (2018) as a companion to the AWS presentation by Ben Duncan (Startup Solution Architect) "What you need to know about Vector Databases. From use-cases to a deep dive on the technology."

Local in-memory vector database

Building a Custom Vector Search Engine with Weaviate : The project discusses the architecture of Weaviate, an open-source vector database and provides a tutorial implementation of a custom vector search engine using Weaviate Cloud Service(WCS).

gRPC server for hnswlib

Neural conversational model based on DSSM architecture and HNSW.

The thesis presents the parallelisation of a state-of-the art clustering algorithm, FISHDBC. This objective has been achived by improving the main data structures and components of the algorithm: HNSW, MST and HDBSCAN. My contribution is based on a lock-free strategy, completely wrote in Python.

🧬🔍🗄️ Unlock the power of vector indexing and search in your Go applications with the HNSW algorithm for approximate nearest neighbor search, seamlessly embedded within your application.

All-in-one environment to use Dria, the collective knowledge for AI.

Slides for "Retrieval Augmented Generation" video

Similarity search index for Clojure

semantic vector search demo with gRPC server in Rust

HNSW vector search implementations

Naive implementations of some ANNS (Approximate Nearest Neighbor Search) algorithms without any optimization and generalization.

A personal implementation of HNSW for vector indexing for learning purposes