Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

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

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

Vector Embedding Server in under 100 lines of code

V3CTRON | Vector Embeddings Data Retrieval | ChatGPT Plugin

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.

Text/Image search for similar products

Self-learning prompt injection detection engine — 25 input detectors (10 languages), 5 output scanners, PII redaction, red team self-testing, F1: 96.0% with 0% false positives. Docker, GitHub Action, pre-commit, FastAPI/Flask/Django/LangChain/CrewAI/Dify/n8n.

Your Data as Knowledge Base + AI. ChatBot

implemented vector similarity algorithms to understand their inner workings, used local embeddding models

Sort the search results of Shotit to increase the correctness of Top1 result by using Keras and Faiss.

CinemAI is a sophisticated movie and TV show recommendation system that leverages cutting-edge AI technologies combined with traditional algorithms to provide personalized recommendations using AI embeddings, statistical clustering, and GPT-4 for intelligent movie suggestions.

in-memory fuzzy matching

🎥 Recommend movie to watch next based on the movie just watched, using AI.

Never 2 Late - a reinterpretation of Everest Pipkin's 'i've never picked a protected flower'

Implementation and analysis of various algorithms, libraries and systems, distributed and not, for Approximate Nearest Neighbors searches

🛡️ Detect and block prompt injection attacks in LLM apps using pattern detectors, ML, and community-driven feedback to improve security.

FastAPI-based vector similarity search API using Pinecone for efficient vector database operations

📄 Enhance your PDF experience with a chatbot that answers questions using natural language, ensuring context-aware interactions and easy document management.

Vector search using embeddings, FAISS and Product Quantization with custom index & KMeans