Node.js-specific utilities and runtime functionality for Tailwind CSS v4, providing compilation tools, module dependency analysis, source map handling, path normalization, and optimization utilities.

JupyterLab React-based UI components library providing icons, forms, buttons, and widgets for consistent interface development.

Hooks and components for consuming remirror with your fave framework React.

ESLint plugin providing custom rules for JavaScript Standard Style linting

designing a new programming language

Testing the --bump flag

LangChain4j integration for Google Vertex AI models including chat, language, embedding, image, and scoring capabilities

LangChain4j Qdrant integration providing a vector store embedding implementation for Qdrant database with metadata filtering support

This package provides a deprecated integration module that enables Java applications to interact with GitHub Models through the LangChain4j framework. It offers chat models (both synchronous and streaming), embedding models, and support for AI services with tool integration, JSON schema responses, and responsible AI features. The module wraps Azure AI Inference SDK to provide a unified API for accessing various language models hosted on GitHub Models, including chat completion capabilities, embeddings generation, and content filtering management. As of version 1.10.0, this module has been marked for deprecation and future removal, with users recommended to migrate to the langchain4j-openai-official module for enhanced functionality and better integration. The library is designed for reusability as a foundational component in LLM-powered Java applications that need to leverage GitHub-hosted AI models, offering builder patterns for configuration, support for proxy options, custom timeouts, and comprehensive model service versioning capabilities.

Zero-configuration RAG package that bundles document parsing, embedding, and splitting for easy Retrieval-Augmented Generation in Java applications

pgx is a pure Go driver and toolkit for PostgreSQL providing a native high-performance interface with PostgreSQL-specific features plus a database/sql compatibility adapter.

Milvus embedding store integration for LangChain4j

LangChain4j integration for Chroma embedding store enabling storage, retrieval, and similarity search of vector embeddings with metadata filtering support for both API V1 and V2.

LangChain4j integration for Weaviate vector database enabling embedding storage and similarity search in Java applications

LangChain4j PGVector integration for PostgreSQL-based vector embedding storage and retrieval

LangChain4j integration library for Hugging Face inference capabilities including chat, language, and embedding models

HTTP client abstraction for LangChain4j with synchronous/asynchronous execution and Server-Sent Events (SSE) streaming support

AWS Bedrock integration for LangChain4j enabling Java applications to interact with various LLM providers through a unified interface

LangChain4j Agentic Framework provides a comprehensive Java library for building multi-agent AI systems with support for workflow orchestration, supervisor agents, planning-based execution, declarative configuration, agent-to-agent communication, and human-in-the-loop workflows.

A Pulumi provider SDK for creating and managing Amazon Web Services (AWS) cloud resources in Go, providing strongly-typed resource classes and data sources for all major AWS services.