smart-groups
Easy to manage embedded groups.
Found 411 results for embeddings
Easy to manage embedded groups.
Solar LLM and Embeddings nodes for n8n
Solar LLM and Embeddings nodes for n8n
MCP server for semantic codebase search using embeddings
Official JavaScript/TypeScript SDK for Nebula Cloud - Memory, Search, and AI-powered conversations
Ultra-lightweight semantic embeddings for event graphs. Browser-first with swappable providers.
Typescript bindings for llmscubie
n8n node for Venice AI API integration
A lightweight memory system for LLM agents
A production-ready Model Context Protocol (MCP) server for semantic memory management
Universal Re-Rankers Interface
A lightweight and efficient vector database for storing and searching text embeddings in the browser's local storage. The package uses OpenAI's API to generate embeddings for text documents and provides functionality for similarity search, filtering, and
n8n node for Venice AI API integration
Easy-to-use semantic search plugin for Supabase with automatic embedding generation and vector similarity search
Typescript bindings for langchain
Supabase Vector Store Extended node for n8n with schema and namespace support
Codepilot is fairtly simple way to load a repo into a local embeddings db and talk to it via a gpt model.
Solar LLM and Embeddings nodes for n8n
AI-powered project generator that does things the way you like it
A NodeJS RAG framework to easily work with LLMs and custom datasets
Promptbook: Run AI apps in plain human language across multiple models and platforms
Automatically generate and sync vector embeddings for PostgreSQL text data
⚡ Building applications with LLMs through composability ⚡
CustomGPT client library for nodejs
Node.js / Typescript utilities for contextual retrieval
Solar LLM and Embeddings nodes for n8n (Test Package)
Modern JavaScript-first RAG framework with contextual embeddings, professional CLI, and one-command deployment
Core LangChain.js abstractions and schemas
A CLI tool to parse a PDF file, generate text chunks with embeddings, and save as JSON for Retrieval-Augmented Generation (RAG).
n8n community node for Cloudflare Vectorize vector database integration, featuring vector operations (insert/upsert/query), index management, metadata filtering, namespace support, and full AI Agent compatibility for semantic search and RAG implementation
n8n community node for LM Studio Embeddings API with encoding format selection, specifically design for Supabase