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#

vector-similarity

Here are 56 public repositories matching this topic...

milvus

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

  • UpdatedNov 26, 2025
  • Cuda

Embeddable, in-memory, document-oriented database with a high-level Query builder interface.

  • UpdatedNov 29, 2025
  • C++
vectorhub

Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)

  • UpdatedAug 20, 2024
vectorai

Python, Java implementation of TS-SS called from "A Hybrid Geometric Approach for Measuring Similarity Level Among Documents and Document Clustering"

  • UpdatedOct 21, 2019
  • Python

Vector Storage is a vector database that enables semantic similarity searches on text documents in the browser's local storage. It uses OpenAI embeddings to convert documents into vectors and allows searching for similar documents based on cosine similarity.

  • UpdatedDec 11, 2024
  • TypeScript

This repository contains various ways to calculate sentence vector similarity using NLP models

  • UpdatedApr 14, 2020
  • Python

Timescale Vector Cookbook. A collection of recipes to build applications with LLMs using PostgreSQL and Timescale Vector.

  • UpdatedJan 6, 2025
  • Jupyter Notebook

AI Github assistant for your repo. Your proactive GitHub bot that auto-detects duplicates using OpenAI embeddings and Supabase magic!

  • UpdatedJan 9, 2025
  • TypeScript

Maximal Information Coefficient (MIC) Extension for Postgres

  • UpdatedJan 30, 2025
  • C

Vector Embedding Server in under 100 lines of code

  • UpdatedMar 1, 2024
  • Python
shotit

This code example shows how to make a chatbot for semantic search over documents using Streamlit, LangChain, and various vector databases. The chatbot lets users ask questions and get answers from a document collection. The code is in Python and can be customized for different scenarios and data.

  • UpdatedSep 3, 2023
  • Jupyter Notebook

Scripts for reading, extracting, and organizing data from either HTML or PDF documents and prepare them to be converted into embeddings for use in context-augmented LLM queries.

  • UpdatedAug 26, 2024
  • Python

🧠 leverage advanced AI embeddings to perform multilingual zero-shot text classification. Whether you're dealing with unlabelled data or seeking to classify text against dynamic and user-defined labels, this library provides a seamless and efficient solution.

  • UpdatedOct 30, 2025
  • TypeScript

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