multiple vantage point distance-based tree data structure
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Updated
Jun 23, 2022 - C++
multiple vantage point distance-based tree data structure
index binary vectors for efficient nearest neighbor search
hnswlib-wasm attempts to create a browser friendly version of hnswlib
The engine for Sembed written in C++. Sembed is a vector database made for small projects and dosent require a ton of memory to work
A cute toy of IVF (PQ).
Simple and Efficient DiskANN implementation
Header-only C++/python library for fast approximate nearest neighbors using HSIG
A remote cache for vector databases which allows for a dynamically updated subset of a large dataset to be held entirely in memory.
deal.II Assistant (Large Language Model & RAG Application)
Fast, SQL powered, in-process vector search for any language with an SQLite driver
MSVBASE is a system that efficiently supports complex queries of both approximate similarity search and relational operators. It integrates high-dimensional vector indices into PostgreSQL, a relational database to facilitate complex approximate similarity queries.
A Vector Database Tutorial (over CMU-DB's BusTub system)
A vector 'database' plugin for Unreal Engine 5. Built for leveraging the power of embeddings to create semantic search functionalities
SoraDB is a custom-built vector storage engine designed to manage and query high-dimensional vector data.
HENN: A Hierarchical Epsilon Net Navigation Graph for Approximate Nearest Neighbor Search
An implementation of Vamana ANN algorithm, with easy-to use go-binding
A simple and fast chat records searching bot for Telegram. Supports OCR and sematic vector search.
A simple SQLite extension that allows direct GPU and/or SIMD accelerated vector operations
[SIGMOD 2025] Practical and Asymptotically Optimal Quantization of High-Dimensional Vectors in Euclidean Space for Approximate Nearest Neighbor Search
Agent-Based deal.II Virtual Assistant
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