Embeddings are numerical representations of data that capture semantic meaning for AI and machine learning systems. They convert data such as text, images, or audio into numerical vectors, allowing AI systems to measure similarity, understand context, and power applications such as semantic search, recommendation systems, clustering, and Retrieval-Augmented Generation (RAG).
Find related notes and excerpts while writing. Your link building copilot displays relevant content in graph + list view. A local embedding model powers semantic search. Zero setup. No API key.
Text-To-Speech, RAG, and LLMs. All local!
EntityDB is an in-browser vector database wrapping indexedDB and Transformers.js over WebAssembly
Access the latest AI models like ChatGPT, Fable, Deepseek, Diffusion, Hugging face, and beyond through a unified prompt layer and performance evaluation
A sophisticated smart symptom search engine
openai-whisper-talk is a sample voice conversation application powered by OpenAI technologies such as Whisper, Completions, Embeddings, and the latest Text-to-Speech. The application is built using Nuxt, a Javascript framework based on Vue.js.
GPT-3 Chatbot with Long and Short Term Memory and advanced logic built in javascript with openai API - short and long memory, KYC, embeddings, openai, database, flexible, gpt-3.5-turbo, react
Next-token prediction in JavaScript - build fast language and diffusion models.
🍱 Semantically create chunks from large document for passing to LLM workflows
A lightweight CPU only memory approach with ranked retrieval. Simple, yet effective.
Local, git-versioned memory for AI coding agents. No RAG, no Docker, no external service. Capture, compile, recall over a local LLM wiki with on-device embeddings and an MCP server.
A continuously-verified dataset of free-tier & trial-credit LLM APIs for developers. Every entry dated, sourced to the provider's own docs, and machine-readable. No hype, no dead links.
Most AI agents forget you the moment the tab closes. Constellation Engine gives them a hippocampus — a living star map with spreading activation, Hebbian writeback, episodic recall, and post-turn consolidation. Local-first, model-agnostic, AGPL.
Open-source persistent memory MCP server and self-hosted AI workspace for Claude Code, Codex and OpenCode. SynaBun Assistant coordinates their agents.
Interactive Visualization Interface for Multidimensional Datasets
JavaScript embedder for Wolfram Cloud notebooks
🐸 KERMIT - A lightweight library to encode and interpret Universal Syntactic Embeddings
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and much more...