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I will build a bible ai chatbot using gemini, rag, and chromadb


About this gig
I will build a custom AI chatbot using Gemini, RAG, ChromaDB, and Hybrid Search. Whether you need a document Q&A system, knowledge-base assistant, customer support bot, or domain-specific AI solution, I deliver production-ready, scalable, and accurate AI applications with source citations, memory, and advanced retrieval capabilities. (46 words)
Or a shorter version:
I build production-ready AI chatbots powered by Gemini, RAG, ChromaDB, and Hybrid Search. Get accurate, context-aware assistants for documents, knowledge bases, customer support, healthcare, education, and custom business use cases. (34 words)
The second version is usually better for Fiverr because it's concise and keyword-rich.
Get to know Abinashkumar C
OCR EXTRACTION
- FromIndia
- Member sinceApr 2026
- Avg. response time1 hour
Languages
Tamil, English, Kannada
FAQ
What information do you need to start the project?
I need your project requirements, use case, documents (PDFs, manuals, knowledge base), preferred AI model, and any UI or deployment preferences
Q: Which AI models do you support?
I can build solutions using Google Gemini, OpenAI GPT models, Claude, Llama, and other popular LLMs based on your requirements.
Can you build a chatbot that answers questions from my documents?
Yes. I specialize in RAG (Retrieval-Augmented Generation) systems that can retrieve information from PDFs, Word documents, websites, and custom knowledge bases.
Do you provide the source code?
Yes, source code is included in the Premium package. For other packages, source code can be provided as an additional service.
Can you integrate databases or APIs?
Yes. I can integrate PostgreSQL, MySQL, CRM systems, REST APIs, and other external data sources depending on your project needs.
Do you deploy the application?
Yes. I can help deploy the solution on Streamlit Cloud, AWS, Azure, GCP, Docker, or your preferred hosting environment.
What is RAG and why is it important?
RAG combines AI models with document retrieval, allowing chatbots to provide accurate, source-backed answers while significantly reducing hallucinations.
Can the chatbot support multiple languages?
Yes. Multi-language support can be added using Gemini or other LLMs, depending on the package selected.

