RAG

WeKnora is an intelligent knowledge management and Q&A framework that utilizes LLMs to provide enterprise-grade document understanding and semantic retrieval. The platform offers both a RAG-based Quick Q&A mode for fast queries and a ReACT Agent engine for complex, multi-source reasoning tasks. It features a highly modular architecture that supports various document formats, multiple LLM providers, and seamless integration with popular IM channels for private or local deployment.

MemPalace provides a local-first solution for storing and retrieving conversation history as verbatim text without the need for summarization or external API calls. The system organizes data into a structured hierarchy of wings, rooms, and drawers to enable precise, scoped semantic searches. It features a pluggable backend architecture and includes a temporal knowledge graph to manage entity relationships locally.

OpenDataLoader PDF is a high-performance, open-source parser designed to convert PDF documents into structured formats like Markdown, JSON, and HTML for AI and RAG pipelines. It features a hybrid processing mode that combines deterministic local parsing with AI-driven analysis to achieve industry-leading extraction accuracy for complex tables, formulas, and scanned documents. Additionally, the project provides automated accessibility solutions, including end-to-end Tagged PDF generation compliant with international standards.

AgentKit Code Workshop is a companion sample repository for the AI Agent development platform launched by Volcano Engine, designed to help developers quickly master the agent construction and deployment process. The project provides a variety of code examples ranging from basic introductions to complex business scenarios, covering core functions such as multi-agent collaboration, RAG retrieval augmentation, and tool calling. Developers can use these tutorials to gain an in-depth understanding of the AgentKit development toolchain, thereby efficiently implementing various intelligent applications.

The Claude Cookbooks provide a comprehensive collection of code snippets and guides to help developers integrate Claude into their own applications. The repository covers a wide range of topics including tool use, multimodal capabilities, and advanced techniques like prompt caching. These resources are designed to be easily adaptable for various programming languages and project requirements.

DeepTutor is an agent-native platform designed to provide a personalized, persistent, and autonomous tutoring experience. It features a unified workspace that integrates chat, deep research, quiz generation, and math visualization into a single, context-aware environment. The system supports flexible deployment options, including a guided interactive tour, manual local installation, and Docker-based setups.

Endee is a high-performance, open-source vector database specifically engineered for AI search, RAG pipelines, and semantic retrieval workloads. It is implemented in C++ and optimized for modern CPU architectures to ensure production-grade performance and low-latency results. The platform supports flexible deployment options, including Docker and local builds, while providing advanced features like hybrid search and metadata-aware filtering.