Connectors to Build AI Training Datasets.
You need a dataset of 10,000 product listings for your RAG system but there is no API , Apify scrapes them, Chroma stores them as searchable embeddings, and Notion tracks every data source with quality scores
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Your AI agent builds datasets like a data engineer , but in minutes, not weeks. You define the target: '10,000 SaaS product listings with pricing, features, and customer reviews.' Step 1: Apify runs a pre-built web scraping Actor , no code, no Selenium, no Puppeteer.
Apify has 2,000+ ready-made Actors for specific sites and data types. The Actor scrapes 10,000 listings in 15 minutes. Step 2: Chroma stores the data as vector embeddings.
Now the dataset is searchable by meaning: 'Find all products that mention real-time collaboration and cost less than $50/month' returns semantically relevant results, not keyword matches.
Your RAG system can retrieve this data instantly. Step 3: Notion documents the pipeline. Data source, collection date, record count, quality score, next refresh date.
'SaaS Products dataset: 10,234 records collected June 4. Quality: 94% (588 records missing pricing). Refresh: June 11.' The dataset grows with each run.
Quality improves with each refresh. Your RAG system stays current because the pipeline refreshes automatically.
Connector Orchestration: 3 Connectors, one intelligent agent
Connect Apify, ChromaDB and Notion Connectors so your AI agent uses Apify's pre-built web scraping Actors to collect structured data at scale from any website, stores the collected data as vector embeddings in ChromaDB for instant semantic search and RAG retrieval, and manages the entire data pipeline in Notion with source tracking, quality metrics and refresh schedules. AI builders who need large datasets for RAG systems, fine-tuning, or analysis , but the data lives on websites without APIs, manual collection takes weeks, and once you collect the data, it sits in CSV files with no search capability and no pipeline to keep it fresh.
Apify
triggerRuns pre-built web scraping Actors to collect structured data at scale from any website , product listings, reviews, job postings, social profiles
run_actor get_dataset_items get_run list_actors run_actor_sync Chroma Vector Db
enrichmentStores collected data as vector embeddings for instant semantic search , transforms raw datasets into RAG-ready knowledge bases
get_collection query_embeddings list_collections count_documents get_documents Notion
actionManages the data pipeline , source registry, collection status, quality scores, refresh schedules, and dataset documentation
create_page query_database search_pages get_page Run This Automation Today
Connect Claude, ChatGPT, Cursor, or any AI agent to the Vinkius catalog and run this automation in minutes.
Build Your Own Connector
Convert any internal API into a Connector. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on each call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Connect & Automate
The 3 servers this recipe uses are ready in the catalog. Connect them once, paste a prompt, and your AI runs the full workflow.
- Apify, Chroma Vector Db & Notion ready in the catalog right now
- Add more from 5,800+ servers whenever you need
- Connections are secured and compliant by default
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers and recipes added weekly
Superpowers you didn't know your AI had
The Vinkius catalog gives your agent access to 5,800+ Connectors and the intelligence to combine them. Imagine never logging into another dashboard. Your AI handles the work across all tools, in one conversation. That's what this connectivity layer was built for.
Cross-Platform Intelligence
Your agent doesn't just connect to tools. It understands the relationships between them. Data flows where it needs to go, automatically, with full context preserved across all platforms.
Contextual Reasoning
Each decision your agent makes considers the full picture. It reads CRM data, checks calendars, reviews conversation history, and acts on everything at once. Not step by step. All at once.
Productivity at Scale
What used to take 45 minutes across five different dashboards now takes one sentence. Your agent runs the entire workflow end to end while you focus on decisions that actually matter.
Zero-Config Reliability
No API keys to paste. No webhooks to configure. No YAML to debug. Connect your Connectors once, and your agent handles the rest. Each time, without intervention.
Made for
exactly this
Your AI agent taps into the entire Vinkius AI Connectors to handle these for you. You describe what you need. It does the rest.
AI builders creating RAG-ready datasets from websites without APIs using pre-built Apify scraping Actors
Product teams building competitive databases with 10,000+ products searchable by semantic meaning in Chroma
Researchers collecting large-scale structured data from web sources with automatic quality tracking and refresh scheduling
AI enthusiasts building personal knowledge bases from niche domains , academic papers, job markets, industry reports , with zero scraping code
Frequently Asked Questions About This Connector Orchestration
Which Connectors do I need for this workflow?
Three: Apify, ChromaDB and Notion. Connect all three to your AI client before running any prompt from this page.
Does this work with Claude Desktop, Cursor or Windsurf?
Yes. Any AI client supporting the Model Context Protocol works , Claude Desktop, Cursor, Windsurf, Cline and others.
Do I need to write scraping code?
No. Apify has 2,000+ pre-built Actors for specific sites and data types. Your AI agent selects and runs the right Actor automatically.
Is my data secure?
Connectors authenticate through API keys. Apify scrapes public web content. Chroma and Notion data stays in your instances. Vinkius does not store your datasets.
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Connectors used in this workflow
Apify
Apify lets your AI agent run web scrapers, extract structured data, and manage browser tasks. It connects your Apify workspace to any MCP-compatible client so you can command complex data extraction workflows using natural language instead of writing custom scripts.
Chroma (Vector DB)
Chroma (Vector DB) lets you manage vector embeddings and semantic data directly through your AI client. You can list collections, query high-dimensional embeddings for relevant context, and audit document counts or metadata. It's the bridge between your vector database and your AI agent's memory.
Notion
Notion MCP lets your AI agent read, search, and update your Notion workspace. It turns static docs into a live database your agent can query to find project specs, manage tasks, and update team pages instantly. This makes your company knowledge searchable and actionable from any MCP-compatible client.