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I will build a custom rag chatbot using langchain and llms
Keval Savaliya
Informazioni su questo servizio
I build custom RAG chatbots that answer questions.
strictly from YOUR documents zero hallucinations,
zero guesswork.
Upload your PDFs, manuals, or knowledge base and get
a fully working AI assistant powered by LangChain,
Pinecone, and GPT-4 / Claude / Gemini.
End-to-end RAG pipeline
Conversation memory (multi-turn Q&A)
Vector database setup (Pinecone / ChromaDB)
Web interface (Flask / Streamlit)
Clean source code + documentation
Built by an AI Systems Engineer with real production
Experience, not tutorials.
Message me before ordering so I can deliver.
exactly what you need.
Scopri di più su Keval Savaliya
Keval Savaliya
AI Engineer
- DaIndia
- Membro daapr 2026
Lingue
Inglese, Tedesco
I am an AI systems engineer with 1.5+ years building agentic AI systems, multi-agent architectures, RAG pipelines, MCP-based tool integrations, and n8n automation workflows.
FAQ
What types of documents do you support?
PDF, DOCX, TXT, CSV, and web URLs. If you have another format, message me first.
Will the chatbot make up answers?
No. RAG architecture grounds every answer strictly in your documents. If the answer isn't there, it says so.
Which LLM will you use?
Your choice: OpenAI GPT-4, Claude (Anthropic), or Google Gemini. I'll recommend based on your use case.
Do I need a server to run this?
Synapse/Nexus packages run locally or on any server. Zenith includes Docker + AWS deployment setup.
Can I see examples of your work?
Yes, message me and I'll share my GitHub and portfolio link.
