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Fiverr Pro
English
$
USD
I will develop an enterprise rag pipeline and custom knowledge base chatbot
AI Engineer, Custom LLM Agents, RAG Systems, Python Automation
Turning LLMs into dependable software takes more than simple API calls — it requires solid architecture, clean data pipelines, and rigorous testing.
I specialize in building custom AI agents, documen...
About this Gig
Looking for a custom AI chatbot that actually works on YOUR documents? Your RAG chatbot hallucinates because retrieval is weak - not because the LLM is small. I build production AI development systems: hybrid keyword + semantic search fused with cross-encoder reranking, so your LLM answers only from verified evidence.
Shipped proof: TradeReady AI, live on Vercel - a full RAG chatbot: PDF/DOCX/XLSX ingestion, local embeddings (near-zero cost), reranking, citations, per-user isolation, queue, rate limiting, audit logs.
What you get with my AI chatbot development:
- Zero-hallucination design: every answer traced to retrieved passages with visible citations
- Structure-aware parsing: tables and headings from PDF/DOCX/XLSX handled properly
- Next.js chat UI: conversation history, source display, per-user auth
- Enterprise ops: rate limiting, audit logs, ingestion queue, admin tooling
You get an AI development engineer who reasons about retrieval, verification and safety - not a no-code broker. An eval report proves accuracy on YOUR documents.
Order flow: tier -> buyer questions -> 24h plan -> demo -> deploy. Message me first if unsure about scale.
FAQ
Will the chatbot hallucinate on my documents?
The hybrid retrieval + cross-encoder design constrains the model to answer only from retrieved passages, and I tune retrieval on your real corpus. Premium includes an eval report proving groundedness rates on your documents.
What document types can I ingest?
PDF, DOCX, XLSX (with table awareness), and text-like sources. Premium covers scheduled/ongoing ingestion and S3-compatible storage.
Do the embeddings cost per page or month?
Basic POC ships with local embeddings (no per-page API bill). If your scale warrants hosted models, I integrate OpenAI/Anthropic options and document the costs before you commit.
Where is my data stored? Is it private?
Your data lives in your chosen database (Postgres/SQLite/your S3) under YOUR accounts. Premium enforces per-user database isolation - no cross-tenant reads possible at the data layer.
Can it integrate with my existing stack?
Yes - Standard includes Vercel deployment and a clean API contract; Premium includes custom per-project integration. If your stack is niche, message me with specifics before ordering.
