JSPM

Mock infrastructure for AI application testing — LLM APIs, image generation, image editing, text-to-speech, transcription, audio translation, audio generation, video generation, embeddings, MCP tools, A2A agents, AG-UI event streams, vector databases, sea

ChromaDB vector store for @vivantel/rag-core (local or hosted)

SIE embedding function for ChromaDB

Genkit AI framework plugin for Chroma vector database.

Retrieval-Augmented Generation (RAG) and vector search for HazelJS framework

ChromaDB module for Testcontainers

Retrivora AI is a plug-and-play AI engine for RAG chat experiences — generic vector DB + LLM provider, embeddable or standalone.

ChromaDB Admin Management System (CAMS) - A modern web-based admin dashboard for managing ChromaDB vector databases

Official Node.js SDK for TrashDB — ephemeral database containers on demand

Lighthouse for RAG — PASS/WARN/FAIL scores for your retrieval pipeline, straight in the terminal. Works with LangChain, LlamaIndex, Vercel AI SDK, Langfuse, and any OpenTelemetry source.

All-in-one CLI, MCP, and backend runtime for solid-state electrolyte QA (agent-only).

rill extension for ChromaDB vector database integration

Chroma vector store adapter for NodeLLMCache

MCP Server for Claude Code, Cursor, Cline, Copilot, Github Copilot, Windsurf - Visual AI Agent Plan Execution, Approval Workflow, Plan Visualization, Agent Orchestration. See what your AI is thinking before it writes code. Works with Claude, GPT, Gemini,

Drop-in ChromaDB replacement backed by ZeroDB cloud vectors. No Docker, no setup — just import and go.

AST-aware code context engine for RAG, vector databases, and AI assistants. Tree-sitter parsing, PageRank ranking, BLAKE3 content-addressable chunks. Integrates with Pinecone, Weaviate, Qdrant. Supports Claude, GPT-5, GPT-4o, Gemini, Llama (27+ tokenizers

Store and query vectors in ChromaDB through tools designed for Sisu RAG pipelines.

Convert any documentation URL into a ready-to-run MCP server — 100% local, no API keys needed

Production-ready AI agent framework with persistent memory, self-reflection, and adaptive planning

MCP Server for Claude Code, Cursor, Cline, Copilot, Github Copilot, Windsurf - Visual AI Agent Plan Execution, Approval Workflow, Plan Visualization, Agent Orchestration. See what your AI is thinking before it writes code. Works with Claude, GPT, Gemini,

Local RAG system for AI agent memory using ChromaDB and sentence-transformers

ChromaDB vector store adapter for semantic documentation search

Production-ready RAG (Retrieval-Augmented Generation) for JavaScript & React - Built on official Ollama & LM Studio SDKs with Hybrid Search, Reranking, Query Transformation, Caching, Conversation Management & Evaluation

RAG (Retrieval-Augmented Generation) project initializer for Queen Claude ecosystem

[![NPM version][npm-image]][npm-url] [![Test coverage][codecov-image]][codecov-url] [![Known Vulnerabilities][snyk-image]][snyk-url] [![npm download][download-image]][download-url]

Buzo AI retrieval observability SDK — mirror your AI agent's vector retrievals and LLM generations to Buzo for usage-weighted findings, served-flagged alerts, cited-flagged attribution, and dead-vector detection.

Local RAG setup with ChromaDB + MCP server (Jina/BGE hybrid support).

A local MCP server and Node.js library for storing, searching, and querying tagged text pieces using ChromaDB and Ollama

Chroma vector store adapter for OrkaJS

RecVector adapters - Chroma, OpenAI, Gemini, and Knex for @recvector/sdk

Modern desktop chat interface for Ollama with RAG, code canvas, tool calling, and advanced thinking modes

Production-ready MCP server for document ingestion and knowledge management with vector search. Supports PDF, DOCX, TXT, MD, CSV, JSON, HTML with ChromaDB and multiple embedding providers.

Semantic Git history index for Claude Code — Node.js port of claude-memory

Enterprise GenAI RAG Pipeline — Terminal UI. Auto-installs vectordbpipe Python SDK. Ingest, chat, graph, and extract with 4 AI engines. No backend server required.

**context1000** is a documentation format for software systems, designed for integration with artificial intelligence tools. The key artifacts are ADRs and RFCs, enriched with formalized links between documents.

🌾 Plant and harvest AI models, agents, and databases into single deployable binaries

RAG (Retrieval-Augmented Generation) system for Moodle development with Claude Code CLI

ChromaDB Node for Node-RED

Facial Recognize Nodes With AI for Node-RED

Developer velocity engine — hybrid BM25 + semantic code search with parent-doc retrieval, parallel indexing, and AI explanations.

MCP-based RAG server for frontend development guidelines with ChromaDB

ChromaDB adapter for VectorORM

A reusable Backstage backend plugin that provides RAG (Retrieval-Augmented Generation) capabilities including embedding providers and vector stores for knowledge retrieval.

ChromaSQL UI CLI - Query builder interface for ChromaDB

Optional background service for automatic RAG index maintenance (file watching, updates).

Generate SQL from natural language using DB schema + vector retrieval

Plugin for Meteor Up to add support for chromadb

High-performance streaming Markdown text splitter for LLM pipelines and RAG systems. Zero sequence loss for code blocks, tables, links, and videos. 5 built-in strategies + custom. Zero dependencies.

Advanced Model Context Protocol server with persistent memory using Memgraph and ChromaDB

A Retrieval-Augmented Generation MCP server for Motoko code search and code generation

MCP server for Claude Code providing access to Dataform documentation through semantic search, concept explanations, and best practices

CLI tool to process PDFs and create local vector databases using ChromaDB

A React UI component library for ChromaDB integration

ChromaDB vector store adapter for InteractKit — local-first semantic memory

ChromaDB vector store provider for Fox Framework agents — native fetch, no SDK

ChromaDB Node for Node-RED

Codebase indexer for RAG systems

Worker service for Tonk Obsidian with MCP support

A Retrieval-Augmented Generation MCP server for Clarity code search and code generation

OpenTelemetry instrumentation for ChromaDB vector database

Universal vector database client for ChromaDB and Pinecone with OpenAI embeddings. Simple addData() and getData() API for semantic search, RAG applications, and knowledge base management.

Unified wrapper around popular vector databases — one API, any backend

A lightweight local vector database implementation in Node.js similar to ChromaDB

ChromaDB vector embedding database configuration generator CLI