Browse categories
Explore
Fiverr Pro
English
$
USD
I will build custom rag chatbot and ai agent for your business
Shray B
About this gig
Are you looking to transform your company's documents, knowledge base, or customer support into an intelligent, instant AI assistant?
I build custom Retrieval-Augmented Generation (RAG) chatbots and autonomous AI agents using Python, LangChain, LlamaIndex, and vector databases (Pinecone, ChromaDB, FAISS). Unlike generic rule-based bots, your AI assistant will pull precise answers directly from your specific data with clear source attributions.
What I Can Build For You:
- Document RAG Chatbots: Query PDFs, TXT, CSVs, or internal docs in real time.
- Customer Support Agents: Automate FAQ resolution and client onboarding workflows.
- Database & API Integration: Connect your bot to external SQL databases, CRMs, or webhooks.
- Clean Web UI: Deployed web apps using Streamlit, Chainlit, or custom API endpoints.
Why Work With Me?
- 7+ Years Experience: Senior analytics and ML background (ex-American Express, British Airways).
- Enterprise-Grade Code: Clean, modular Python structure with complete documentation.
- Tailored Execution: Built around your exact data flow and security needs.
- Please send me a message before placing an order so we can review your data format and project scope!
Get to know Shray B
Shray B
I automate your reporting and build AI tools that save you hours
- FromIndia
- Member sinceSep 2026
- Avg. response time1 hour
Languages
English, Hindi
I'm Shray, a data and AI professional with 7+ years in customer analytics, experimentation, and applied ML, including American Express and British Airways.
I turn messy data into automated, AI-powered solutions that save time and drive better decisions.
What I offer:
RAG chatbots that answer questions from your documents
Automated dashboards and AI report bots (Power BI, Python, Slack)
Churn, retention, and funnel analysis with clear next steps
Customer feedback and sentiment analysis
Fast replies, documented work, results tied to your goals.
My Portfolio
FAQ
What do I need to provide to get started?
You’ll need to provide your source documents (PDF, TXT, CSV, DOCX) or access to your knowledge base/database, along with your OpenAI API key (or chosen LLM provider). If you don't have API keys set up yet, I can guide you through the process.
Will my proprietary data be kept safe and private?
Yes, absolutely. Your data is processed locally or through enterprise vector databases using official API endpoints (such as OpenAI or Pinecone). Your proprietary documents are never used to train public models.
What tech stack do you use to build the RAG chatbot?
Depending on your project requirements, I typically build using Python, LangChain / LlamaIndex, OpenAI / Anthropic APIs, and vector databases like Pinecone, ChromaDB, or FAISS. For the front end, I deploy clean interfaces using Streamlit or Chainlit, or provide raw API endpoints (FastAPI/Flask).
Can you connect the chatbot to my existing database or CRM?
Yes! Under the Premium Tier, I can integrate the RAG workflow directly with external SQL databases, PostgreSQL, or webhooks/CRMs to read live data and trigger specific workflows.
How do you prevent the AI from making things up (hallucinating)?
RAG architecture restricts the LLM to generate answers only using context retrieved from your provided documents. I also set strict system prompts and confidence thresholds so the bot explicitly states when an answer isn't present in your documentation.
