#rag

7 items

Run and adapt more than 100 ready-made open-source AI agents, agent skills and RAG apps as templates for your own projects.

Build production-ready retrieval-augmented generation systems that turn complex documents into a context layer for LLMs, with agent templates.

Crawl websites and turn them into clean Markdown that you can feed to LLMs, AI agents, RAG systems or data pipelines.

Learn how AI agents work and build your own, from core principles to multi-agent apps, through a free Chinese tutorial.

Store your AI conversation history locally as verbatim text and retrieve it later with scoped semantic search.

Deploy ready-made RAG and enterprise search apps that stay in sync with live sources like Google Drive, SharePoint, S3, Kafka and PostgreSQL.

Turn your team's documents into a searchable knowledge base with question answering, a multi-step reasoning agent, and an auto-maintained wiki.