microprompt
An incredibly easy-to-use command-line interface and API for LLM (Large Language Model) prompts. Supports OpenAI and Stability AI. Contributions are welcome to add support for additional vendors.
An incredibly easy-to-use command-line interface and API for LLM (Large Language Model) prompts. Supports OpenAI and Stability AI. Contributions are welcome to add support for additional vendors.
Mixedbread AI Provider for running Mixedbread AI models with Vercel AI SDK
This is n8n node. It lets you use TensorFlow to embed text into vectors.
⚡ Building applications with LLMs through composability ⚡
An advanced TypeScript SDK for OpenAI API with built-in context management, proxy support, streaming, and enhanced error handling. Includes logging, retry mechanism, and fully typed responses for seamless AI integration.
A service for calculating, managing, truncating openai prompt tokens
AI in payload
A lightweight and efficient vector database for storing and searching text embeddings in the browser's local storage. The package uses OpenAI's API or Transformer.js models to generate embeddings for text documents and provides functionality for similarit
AI-powered project generator that does things the way you like it
A TypeScript SDK for embedding generation
A lightweight and efficient vector database for storing and searching text embeddings in the browser's local storage. The package supports multiple Embedding providers (OpenAI, Ollama and HuggingFace Transformers) to generate embeddings for text documents
Store and search embeddings
Inspired by LangMem, nodemem-js is a fast, in-memory vector database for Node.js, designed for efficient similarity search of vector embeddings. Perfect for building chat agent memory and semantic retrieval systems.
Open Source Alternative for Building End-to-End Vector Search Applications without OpenAI & Pinecone
Open Source Alternative for Building End-to-End Vector Search Applications without OpenAI & Pinecone
A NodeJS RAG framework to easily work with LLMs and custom datasets
Automatically and continuously vectorize your PostgreSQL tables with the flexibility of your own embedding pipelines
A NodeJS RAG framework to easily work with LLMs and custom datasets
Rag chatbot for business
A TypeScript/JavaScript module for implementing Retrieval-Augmented Generation (RAG) using Qdrant vector database, Google's Generative AI embeddings, and Groq LLM.