hnswlib

🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.

Lightweight Nearest Neighbors with Flexible Backends

Alice is a smart desktop AI assistant application built with Vue.js, Vite, and Electron. Advanced memory system, function calling, MCP support, optional fully local use, and more.

Search with BERT vectors in Solr, Elasticsearch, OpenSearch and GSI APU

人工智障本地图片检索工具，支持以图搜图、图片去重 | An EfficientNet based image retrieval tool

hnswlib-wasm attempts to create a browser friendly version of hnswlib

A production-ready, scalable Indexer for the Jina neural search framework, based on HNSW and PSQL

hnswlib golang interface

A private, free, open-source search engine built on a P2P network

gRPC server for hnswlib

face recognition and retrieve in ios

AI YouTube Video Chat application, to ask questions to a YouTube video bot and get answers.

AI / ML Embeddings applied to the Steam Store.

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.

Unstructured data refers to information that is not organised using a predetermined data model or schema and cannot be stored in a conventional relational database system. There are several methods for search unstructured data semantically- That is by taking the actual context/meaning of the sentences.One best approach is index based approach.

Chat with your Documents! OpenAI powered pdf-aware chat bot demo

Source code of our paper: SWFC-ART: A Cost-effective Approach for Fixed-Size-Candidate-Set Adaptive Random Testing through Small World Graphs

SoraDB is a custom-built vector storage engine designed to manage and query high-dimensional vector data.

Given a superhero description, find the superhero associate with that description - A Semantic Search Project