Bring Embeddings
to AutoGen

Connect your Jina AI account to any AI agent and take full control of state-of-the-art search infrastructure and LLM grounding through natural conversation.

What you can do

• LLM Grounding & Reader — Extract clean, readable Markdown context from any web URL, stripping away noise and navigation to feed high-quality data to your agent
• Semantic Web Search — Perform context-rich web searches that return structured results specifically optimized for RAG pipelines and AI analysis
• Vector Embeddings — Generate high-quality embeddings using Jina's advanced models to power semantic search and document similarity workflows
• Precision Reranking — Improve search relevance by re-ordering candidate documents based on their semantic match to a specific query block
• Zero-Shot Classification — Categorize text inputs against custom labels with confidence scores without training specific models manually
• Intelligent Segmentation — Break down long documents into semantically cohesive chunks to optimize retrieval-augmented generation (RAG)

How it works

1. Subscribe to this server
2. Enter your Jina AI API Key
3. Start grounding your AI with real-time web intelligence from Claude, Cursor, or any MCP-compatible client

Who is this for?

• AI & RAG Developers — provide your agents with real-time web access and precise document retrieval capabilities through natural conversation
• Data Scientists — test embedding models and reranking logic without writing manual Python scripts or using curl
• Automation Engineers — automate the extraction of clean web content and semantic classification for large-scale data pipelines