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Nederlands
$
USD
I will build a rag ai chatbot with vector database, langchain and openai
Eduard M
Over deze dienst
Want an AI chatbot that answers from YOUR documents and data - accurately, with no made-up answers?
I build custom RAG (Retrieval-Augmented Generation) AI chatbots and assistants that are grounded in your own knowledge base, so every answer is based on your real content - not generic guesses. Perfect for customer support, internal knowledge, documentation, and research.
WHAT YOU GET
- RAG pipeline with a vector database (Pinecone, Weaviate, Chroma or pgvector)
- Ingestion of your PDFs, docs, websites and databases
- LangChain or LlamaIndex orchestration
- OpenAI GPT-4, Claude or open-source LLMs
- Accurate, source-cited answers that reduce hallucination
- API or chat widget you can embed anywhere
- Full, documented source code you own
WHY WORK WITH ME
- Specialised in RAG and production AI systems
- Clear communication and on-time delivery
- Post-delivery support and guidance
Tell me about your data and use case, and I will reply with the best RAG architecture and package for your project. Let's build an AI that actually knows your business.
Maak kennis met Eduard M
Eduard M
Senior Full Stack and AI Engineer, React, Node, Python, React Native, RAG, Agent
- Afkomstig uitRoemenië
- Lid sindsmrt 2017
- Gem. reactietijd1 uur
Talen
Engels, Duits
Senior Full Stack Developer & AI Engineer with 10+ years building production-ready SaaS apps, AI agents, RAG pipelines, and automation workflows. Expert in React, Next.js, Node.js, Python, LangChain, n8n, OpenAI API, Docker, AWS, GCP, PostgreSQL, and MongoDB.
Top Rated Plus on Upwork | 100% Job Success | 50+ projects delivered.
I am available 24/7 and respond within 1 hour — message me anytime and let's build something great together!
Mijn portfolio
Veelgestelde vragen
What LLMs and vector databases do you support?
I support OpenAI GPT-4, Claude, Gemini, and open-source models like Llama. For vector databases, I work with Pinecone, ChromaDB, Weaviate, and FAISS.
Do I need to provide API keys for the LLM?
Yes, you will need to provide your own API key for the LLM provider (e.g., OpenAI, Anthropic). I will guide you through the setup and the keys will only be used for your project.
Will I receive the source code?
Yes, you will receive the complete, well-documented source code along with setup instructions. The code is clean, modular, and easy to extend or maintain.
