AutomationFlowsAI & RAG › Create Ai-ready Vector Datasets for Llms with Bright Data, Gemini & Pinecone…

Create Ai-ready Vector Datasets for Llms with Bright Data, Gemini & Pinecone…

Original n8n title: Create Ai-ready Vector Datasets for Llms with Bright Data, Gemini & Pinecone (agent)

ByRanjan Dailata @ranjancse on n8n.io

This workflow enables automated, scalable collection of high-quality, AI-ready data from websites using Bright Data’s Web Unlocker, with a focus on preparing that data for LLM training. Leveraging LLM Chains and AI agents, the system formats and extracts key information, then…

Event trigger★★★★☆ complexityAI-powered21 nodesAgentPinecone Vector StoreGoogle Gemini EmbeddingsDocument Default Data LoaderText Splitter Recursive Character Text SplitterGoogle Gemini ChatOutput Parser StructuredHTTP Request
AI & RAG Trigger: Event Nodes: 21 Complexity: ★★★★☆ AI nodes: yes Added:

This workflow corresponds to n8n.io template #3542 — we link there as the canonical source.

This workflow follows the Agent → Chainllm recipe pattern — see all workflows that pair these two integrations.

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About this workflow

This workflow enables automated, scalable collection of high-quality, AI-ready data from websites using Bright Data’s Web Unlocker, with a focus on preparing that data for LLM training. Leveraging LLM Chains and AI agents, the system formats and extracts key information, then…

Source: https://n8n.io/workflows/3542/ — original creator credit. Request a take-down →

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