local-first semantic code search engine

🔎 SimilaritySearchKit is a Swift package providing on-device text embeddings and semantic search functionality for iOS and macOS applications.

Next-token prediction in JavaScript — build fast language and diffusion models.

YouTubeGPT • AI Chat with 100+ videos ft. YouTuber Marques Brownlee (@ MKBHD) ⚡️🔴🤖💬

AI chat over the US Constitution 📜 💬 🇺🇸

Find Python Packages on PyPI with the help of vector embeddings

a vector embedding database with multiple storage engines and AI embedding integrations

YouTubeGPT • AI Chat with 100+ videos ft. YouTuber Matt Wolfe (@mreflow) 🐺🟣🤖💬

UC Berkeley CS186 AI Chatbot 🤖 🖥️ 🐻

Semantic QA with a markdown database: Query any markdown file using vector embedding, Pinecone vector database and GPT (langchain). A weaker version of privateGPT

AI Chat with The ₿itcoin Whitepaper

Python scripts that converts PDF files to text, splits them into chunks, and stores their vector representations using GPT4All embeddings in a Chroma DB. It also provides a script to query the Chroma DB for similarity search based on user input.

V3CTRON | Vector Embeddings Data Retrieval | ChatGPT Plugin

UC Berkeley EE16B AI Chatbot 🤖 🖥️ 🐻

This tool provides a fast and efficient way to convert text into vector embeddings and store them in the Qdrant search engine. Built with Rust, this tool is designed to handle large datasets and deliver lightning-fast search results.

Flask API for generating text embeddings using OpenAI or sentence_transformers

Semantic search with openai's embeddings stored to pineconedb (vector database)

SoulCare is a mental health app using NLP to analyze social media sentiment, track symptoms, and offer AI-driven support with personalized reports, document uploads, and symptom-based prioritization.

Text to Image & Reverse Image Search Engine built upon Vector Similarity Search utilizing CLIP VL-Transformer for Semantic Embeddings & Qdrant as the Vector-Store

Learning semantic embeddings from OSM data: A Pytorch implementation of the loc2vec general method outlined in: https://sentiance.com/loc2vec-learning-location-embeddings-w-triplet-loss-networks.