local-first semantic code search engine
-
Updated
Jun 7, 2025 - Python
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.
Browser-local AI code Q&A engine. Chat with your codebase, ensure privacy, and optimize LLM collaboration.
SmartScan is an innovative app that automatically organizes your images by content similarity and enables text-based media search.
Next-token prediction in JavaScript — build fast language and diffusion models.
YouTubeGPT • AI Chat with 100+ videos ft. YouTuber Marques Brownlee (@ MKBHD) ⚡️🔴🤖💬
Find Python Packages on PyPI with the help of vector embeddings
AI chat over the US Constitution 📜 💬 🇺🇸
⚡ Faster vector search with PDX: A vertical data layout for vectors
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
AI pipeline built with the honc and workers-ai. vector embeddings, web scraping and processing with Cloudflare Workflows (beta)
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.
UC Berkeley EE16B AI Chatbot 🤖 🖥️ 🐻
Developed an AI-powered note-taking application using Next.js 14, ChatGPT API, vector embeddings, Pinecone, TailwindCSS, Shadcn UI, and TypeScript.
Add a description, image, and links to the vector-embeddings topic page so that developers can more easily learn about it.
To associate your repository with the vector-embeddings topic, visit your repo's landing page and select "manage topics."