similarity-search

Bible verse search in meaning theough embedding and vector database.

Rust-based retrieval system with hybrid search (vector + BM25), async ingestion, and gRPC-first API

Serverless, lightweight, and fast vector database on top of DynamoDB

Edge Vector search engine with Vulkan GPU acceleration, hierarchical indexing (HRM2), and native LangChain integration. Gaussian splat-based architecture for similarity search on resource-constrained devices.

YouTube GPT is an Android app that allows users to generate video summaries using A.I models. Also capable of answering cross-questions related to the video content!

The official Rust client for the Pinecone vector database

An application that enable the users to upload PDF files and ask questions regarding their content using Retrieval Augmented Generation (RAG)

ContextQA - The open-source tool for data-driven conversations

Near-optimal vector quantization from Google's ICLR 2026 paper — 95% recall, 5x compression, zero preprocessing, pure Python FAISS replacement

PostgreSQL-native semantic search engine with multi-modal capabilities. Add AI-powered search to your existing database without separate vector databases, vendor fees, or complex setup. Features text + image search using CLIP embeddings, native SQL joins, and 10-minute Docker deployment.

🧠 Predictable, embedded multimodal vector database & offline RAG engine for Edge AI (ARM64 / Zero-OOM). Built in C++20.

A tool for performing semantic search within pdf documents leveraging sentence transformers.

VortexDB - A lightweight, vector database built from scratch in Rust 🦀

Embeddable vector database for Rust and Python. HNSW indexing, metadata filtering, hybrid search, and snapshots. The SQLite of vector search.

High-Ratio Vector Quantization

Web Vector Storage (WVS) is a lightweight and efficient vector database that stores document vectors in the browser's IndexedDB. It supports perform semantic similarity searches on text documents using vector embeddings. Embedding is enabled through use of OpenAI, Ollama or HuggingFace Transformer embedding models.

PostgreSQL TurboQuant Index for PGVector

Distance Computaion for Vector Databases

This project implements 30+ variants of ANN algorithms to find the K nearest neighbors in high-dimensional vector spaces. It is meant as a convenient sandbox: drop in your own ANN code, run a one-liner, and instantly compare build/search speed and recall against the bundled baselines.

The data layer for AI with Vector, Graph and Vector-Math built into one single rust engine