vector-similarity
There are 40 repositories under vector-similarity topic.
raft
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.
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)
vectorai
Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.
Vector_Similarity
Python, Java implementation of TS-SS called from "A Hybrid Geometric Approach for Measuring Similarity Level Among Documents and Document Clustering"
sentence-similarity
This repository contains various ways to calculate sentence vector similarity using NLP models
vector-storage
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.
cuvs
cuVS - a library for vector search and clustering on the GPU
vector-cookbook
Timescale Vector Cookbook. A collection of recipes to build applications with LLMs using PostgreSQL and Timescale Vector.
VQLite
VQLite - Simple and Lightweight Vector Search Engine based on Google ScaNN
repo-assistant
AI Github assistant for your repo. Your proactive GitHub bot that auto-detects duplicates using OpenAI embeddings and Supabase magic!
vasco
vasco: Discover hidden patterns in your Postgres data
website-for-resume-matcher
Resume Matcher Website
embedding
Vector Embedding Server in under 100 lines of code
V3CTRON-vector-database-embedding-neural-search-retrieval-chatgpt-plugin
V3CTRON | Vector Embeddings Data Retrieval | ChatGPT Plugin
shotit
Shotit is a screenshot-to-video search engine tailored for TV & Film, blazing-fast and compute-efficient.
chatbot_with_pdf_streamlit
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.
similarity-search-weaviate
Text/Image search for similar products
embeddings-extraction
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.
got-word-embeddings
Fun with Game of Thrones word embeddings
halo2-vectordb
Verifiable vector similarity queries PoC with Halo2.
shotit-api
The ultimate brain of Shotit, in charge of task coordination.
DataHive
Your Data as Knowledge Base + AI. ChatBot
chat-with-pdf
This is a web app where user can talk with there pdf , just need to run few scripts to ingest there pdf, and then with web interface they can talk with pdf
shotit-worker
Four core workers of shotit: watcher, hasher, loader and searcher.
faiss-rest-api
REST API for facebook's faiss
rag-from-scratch
implemented vector similarity algorithms to understand their inner workings, used local embeddding models
shotit-sorter
Sort the search results of Shotit to increase the correctness of Top1 result by using Keras and Faiss.
shotit-media
Media broker for serving video preview for shotit
shotit-frontend
The frontend of shotit, with full documentation.
shotit-meta-service
Provide meta information and utility for shotit, for example, image proxy, cast and poster etc.
near-dup-parser
Holds code for near-duplicate image parser using optimized image classifiers.
c0vEM5oxUa6ndKp8
Apziva AI Residency Program 2024 -- Project 3
Seekr
in-memory fuzzy matching
shotit.github.io
The front page to shotit.github.io
.github
The README profile of Shotit.
Siam-Vector-Search
Siam-Vector Search uses Siamese networks to improve vector similarity searches, making retrieval-augmented generation (RAG) systems more accurate.