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Fiverr Pro
English
$
USD
I will build rag ai chatbot with vector database and llm
god gift
About this gig
Looking to build a powerful AI chatbot that can understand your business documents, knowledge base, and private data?
I will build a custom RAG AI chatbot using LLMs, LangChain, vector databases, embeddings, and AI integrations to deliver accurate, context-aware responses from your own data.
What I can build:
- Custom RAG chatbot for documents, PDFs, websites & knowledge bases
- OpenAI GPT, Claude, or other LLM integration
- Vector database setup with Pinecone, Chroma, Qdrant, Weaviate, or similar
- LangChain-based RAG pipelines
- Document ingestion, chunking & embeddings
- Semantic search and context retrieval
- AI chatbot API or web integration
- Source citations and improved response accuracy
- Custom AI knowledge-base solutions
Whether you need a customer support chatbot, internal knowledge assistant, document Q&A system, AI agent, or business AI solution, I can create a scalable solution tailored to your requirements.
Message me before ordering so I can recommend the right RAG architecture, LLM, vector database, and integration for your project.
Get to know god gift
god gift
Certified Workflow Automation Expert
- FromUnited States
- Member sinceAug 2026
Languages
English, French, Spanish
God Gift! With years of experience as an AI Automation Engineer, I specialize in building powerful n8n, Zapier, Twilio, 3CX, FreeSWITCH, Apollo.io, and Instantly.io automation systems that help businesses save time, generate more leads, and scale faster. I deliver reliable, scalable, and results-driven automation tailored to your business needs.
Services:
n8n & Zapier Workflow Automation
Twilio SMS, Voice & VoIP Automation
3CX & FreeSWITCH SIP Trunk Integration
Apollo.io & Instantly.io Cold Email Automation
B2B Lead Generation & Sales Automation
API Integrations & Webhooks
AI Workflow
My Portfolio
Other AI Development Services I Offer
FAQ
What data can you use for my RAG chatbot?
I can work with PDFs, Word documents, websites, text files, FAQs, knowledge bases, databases, and other structured or unstructured data.
Which AI models can you integrate?
I can integrate models such as OpenAI GPT, Claude, Gemini, Llama, and other compatible LLMs based on your project requirements
Which vector databases do you support?
I can work with popular vector databases such as Pinecone, Qdrant, Chroma, Weaviate, and other compatible solutions.
Can you build a chatbot that answers from my private documents?
Yes. I can create a RAG pipeline that retrieves information from your provided data and generates responses based on the relevant context.
Can you integrate the chatbot into my website?
Yes. I can integrate the RAG chatbot into a website, application, API, or existing business workflow depending on your requirements.
Can you use LangChain?
Yes. I can build RAG workflows using LangChain and other suitable AI frameworks depending on the project's architecture.
Will the chatbot provide accurate answers?
RAG can significantly improve responses by grounding the LLM in your supplied data. However, AI systems cannot guarantee 100% accuracy, so testing and proper data preparation are important.
Can you build a custom RAG system for my business?
Absolutely. I can design the architecture around your data, use case, preferred LLM, vector database, retrieval method, and deployment requirements.
