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I will build a rag pipeline and n8n ai agent with vector database
Nabeel Shahid
Informazioni su questo servizio
Are your AI bots hallucinating? General AI models don't know your business. You need a custom RAG (Retrieval-Augmented Generation) pipeline that connects your company data to the AI for 100% accurate answers.
I build automated data ingestion pipelines and n8n AI Agents that turn your documents into a secure Knowledge Base.
What I Will Build:
- Vector DB Setup: Configure robust stores like Pinecone & Supabase to efficiently store text embeddings.
- Auto Data Ingestion: n8n workflows to automatically extract, chunk, and embed new data without manual effort.
- Smart RAG AI Agents: Connect vector stores with LLMs for assistants that retrieve only factual data (Zero Hallucinations).
- Seamless Integration: Connect this AI brain to your frontend, CRM, or WhatsApp.
Why Choose Me?
- 30 Days Free Support: AI models and APIs frequently update. I provide a month of free maintenance to fix any broken nodes at no extra cost so you avoid downtime.
- Error-Handled Work: Clean pipelines designed to prevent silent failures.
Message me before ordering to discuss your dataset and let's build the perfect pipeline!
Scopri di più su Nabeel Shahid
Nabeel Shahid
Software Engineer
- DaPakistan
- Membro dalug 2026
Lingue
Inglese
Experienced Python & Software Developer specializing in data science, and agentic ai.
Dedicated to delivering high-quality, efficient code, clear communication, and reliable project delivery on time.
Il mio portfolio
FAQ
What is a RAG pipeline and why do I need it?
RAG (Retrieval-Augmented Generation) connects your custom business data to an AI model. Instead of the AI guessing or making up answers (hallucinating), it searches your specific documents first to provide 100% accurate, factual, and context-aware responses.
What type of data can you process and ingest?
I can process and automate the ingestion of various text-based formats, including PDFs, Google Docs, CSVs, Notion pages, and website FAQs, directly into your vector database.
Do I need to provide the n8n and Vector Database accounts?
Yes, you will need to provide access to your n8n workspace (Cloud or Self-hosted) and an account for a vector database like Pinecone or Supabase. If you are new to this, I can guide you on how to set up the free tiers!
How does the 30-day free support work?
For a full 30 days after the order is completed, I will fix any technical issues. If an API updates or a workflow node breaks causing the automation to fail, I will repair it completely free of charge. (Note: This covers bug fixes, not adding entirely new features).
Which AI models can you integrate into n8n?
I can integrate any major LLM supported by n8n, including OpenAI (ChatGPT), Google Gemini, Hugging Face models, and Anthropic Claude, depending on your API keys and preference.
