Milvus
VERIFIEDMilvus is a high-performance, cloud-native vector database built for scalable vector ANN search
$ npx skills add milvus-io/milvusSearch private knowledge
Use these skills to ingest documents, index knowledge, retrieve relevant context, and make agents better at answering with grounded sources.
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I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent should be able to
Recommended stack
Workflow map
Index documents
Search a knowledge base
Summarize source material
Ground answers in retrieved context
Best first installs
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
$ npx skills add milvus-io/milvusOpen-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
$ npx skills add Tencent/WeKnora💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
$ npx skills add neuml/txtaiSkill shortlist
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain
PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
High accuracy RAG for answering questions from scientific documents with citations
Claude + Obsidian knowledge companion. Persistent, compounding wiki vault based on Karpathy's LLM Wiki pattern. /wiki /save /autoresearch
Build document intelligence and RAG workflows for agents
Postgres with GPUs for ML/AI apps.
TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.
AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph.
Connect agents to private data and retrieval workflows
AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing.
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"