A simple example showing how to optimize information density with RAG using Mastra, OpenAI, and PGVector.
A library for writing Ember modifiers
installs custom cleanup handlers that run on exiting node
Standalone RAG ingestion, sync, retrieval, evaluation, clients, and framework adapters extracted from AbsoluteJS
A a collection of languages stemmers and stopwords for Lunr Javascript library
The Retrieval-Augmented Generation (RAG) module contains document processing and embedding utilities.
A rag component for Convex.
Rollup plugin to trim trailing spaces, compact empty lines, and normalize line endings
Smart comment and whitespace cleaner for JavaScript-like files.
A JavaScript library for Retrieval-Augmented Generation (RAG) within the QVAC ecosystem. Build powerful, context-aware AI applications with seamless document ingestion, vector search, and LLM integration.
Asynchronous process cleanup for Node.js and Typescript
The tmp package with promises support and disposers.
A agent component for Convex.
Deterministic codebase intelligence for TypeScript and JavaScript. Quality, risk, architecture, dependencies, duplication, and safe cleanup evidence for humans, CI, and agents. Optional runtime intelligence layer (Fallow Runtime) adds production execution
Phase 2 of the catalog plane. Adds vector embeddings, AI-agent access patterns, and the MCP server scaffolding on top of the Phase 1 foundation in `@voyantjs/catalog`.
A Playwright cleanup plugin
A graceful way to shutdown / handle process exit
Reactive primitives for observing resizing of HTML elements.
Retrivora AI is a plug-and-play AI engine for RAG chat experiences — generic vector DB + LLM provider, embeddable or standalone.
Cleanup lambda VPS EC2 Network Interfaces on stack removal, to speed up the operation
Library exposing methods for the creation and consumption of Bitcoin transactions pertaining to Babylon's Bitcoin Staking protocol.
Plugin for webpack to cleanup extraneous files from the output path directory
The official Pinecone TypeScript SDK for building vector search applications with AI/ML.
Extract clean, timestamped YouTube captions, subtitles, transcripts, and video metadata for AI summaries, RAG, search, and slide-ready workflows.