OpenAgentSkill guide
Best rag and knowledge skills for AI agents
Use these skills to ingest documents, index knowledge, retrieve relevant context, and make agents better at answering with grounded sources.
When to use this guide
Start from the job, then shortlist the tools.
Index documents
Use quality and freshness signals to decide whether a skill belongs in this workflow.
Search a knowledge base
Use quality and freshness signals to decide whether a skill belongs in this workflow.
Summarize source material
Use quality and freshness signals to decide whether a skill belongs in this workflow.
Ground answers in retrieved context
Use quality and freshness signals to decide whether a skill belongs in this workflow.
Shortlist
Top skills to evaluate
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
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.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
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.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
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
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
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.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
High accuracy RAG for answering questions from scientific documents with citations
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
Related stack