Found 24 results for vectorstore

@llamaindex/env

environment wrapper, supports all JS environment including node, deno, bun, edge runtime, and cloudflare worker

@mastra/core

Mastra is the Typescript framework for building AI agents and assistants. It’s used by some of the largest companies in the world to build internal AI automation tooling and customer-facing agents.

@mastra/rag

The Retrieval-Augmented Generation (RAG) module contains document processing and embedding utilities.

<p align="center"> <img height="100" width="100" alt="LlamaIndex logo" src="https://ts.llamaindex.ai/square.svg" /> </p> <h1 align="center">LlamaIndex.TS</h1> <h3 align="center"> Data framework for your LLM application. </h3>

koishi-plugin-chatluna-vector-store-service

vector store service for chatluna

@asktext/core

Core embedding and vector store utilities for AskText voice Q&A.

koishi-plugin-chatluna-plugin-common

plugin service for agent mode of chatluna

mastra-browser-core

The core foundation of the Mastra framework, providing essential components and interfaces for building AI-powered applications.

@codebit-programando-solucoes/llamaindex

[![NPM Version](https://img.shields.io/npm/v/llamaindex)](https://www.npmjs.com/package/llamaindex) [![NPM License](https://img.shields.io/npm/l/llamaindex)](https://www.npmjs.com/package/llamaindex) [![NPM Downloads](https://img.shields.io/npm/dm/llamain

@garviand/llamaindex

A fork of the LlamaindexTS repo llamaindex package

mastra-browser-rag

The Retrieval-Augmented Generation (RAG) module contains document processing and embedding utilities.

langchain-pdfbot

A LangChain-based tool to answer questions strictly from PDF content using Groq LLM and local embeddings.

llamaflowjs

[![NPM Version](https://img.shields.io/npm/v/llamaflowjs)](https://www.npmjs.com/package/llamaflowjs) [![NPM License](https://img.shields.io/npm/l/llamaflowjs)](https://www.npmjs.com/package/llamaflowjs) [![NPM Downloads](https://img.shields.io/npm/dm/lla

@glyphyai/mastra-core

The core foundation of the Mastra framework, providing essential components and interfaces for building AI-powered applications.

@devilsdev/rag-pipeline-utils

A modular toolkit for building RAG (Retrieval-Augmented Generation) pipelines in Node.js

@caleblawson/rag

The Retrieval-Augmented Generation (RAG) module contains document processing and embedding utilities.

mastra_core

The core foundation of the Mastra framework, providing essential components and interfaces for building AI-powered applications.

earnkit-ai-sdk

EarnKit Core provides the foundational infrastructure for building, deploying, and managing efficient event-driven agent-based systems. This package serves as the base layer for the entire EarnKit SDK ecosystem.

@earnkit-ai-sdk/runtime-env

Wrapper for configuration of environments

@llamaflowjs/env

environment wrapper, supports all JS environment including node, deno, bun, edge runtime, and cloudflare worker

@kumologica/kumologica-contrib-vectorstore

Node implements memory vector store

langchain-js-restorable-memory-vectorstore

a restorable memory vector store for LangChainJS that works in browsers

@caleblawson/core

The core foundation of the Mastra framework, providing essential components and interfaces for building AI-powered applications.

indexed-db-vector-store

A LangChain compatible vector store implementation using IndexedDB