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
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
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.
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
Related stack