I will build a private ai chatbot for your documents with rag and source citation

C
cloudevops254
C
cloudevops254
Cloudevops

About this gig

Have hundreds of PDFs, manuals, policies, contracts, reports or internal documents that are difficult to search?

I will build a custom AI document assistant that lets users ask questions about your approved information and receive answers grounded in your documents.

Instead of manually searching through files, users can ask:

  1. "What's our refund policy?"
  2. "According to the employee handbook, how many days of leave are allowed?"
  3. "What does this contract say about termination?"

The system retrieves relevant information before generating the answer.

FEATURES

  • Document ingestion
  • PDF processing
  • Knowledge base
  • RAG pipeline
  • Semantic search
  • AI question answering
  • Source references/citations
  • Conversation interface
  • Document management
  • Access control where required
  • Hallucination-reduction techniques
  • Testing and evaluation

TECHNOLOGY

  • Python
  • FastAPI
  • LLMs
  • RAG
  • Embeddings
  • PostgreSQL/pgvector
  • Vector databases
  • LangChain
  • Crewai

USE CASES

  • Legal document research
  • Internal company knowledge
  • Technical documentation
  • Product manuals
  • HR policies
  • Training materials
  • Research documents
  • Customer support
  • Financial documents
  • Operations manuals

Get to know Cloudevops

Cloudevops

Founder, AI Engineer, Software Engineer, Automation API Integration Expert

5.0(1)
  • FromKenya
  • Member sinceJun 2022
  • Last delivery3 years
  • Languages

    English
I help businesses turn repetitive processes, manual operations, and complex software requirements into AI-powered, automated systems that actually work. I'm a technology founder, product manager, and software engineer with experience across AI/LLMs, software development, API integrations, workflow automation, cloud engineering, and product development. My approach is different from simply delivering code. I start by understanding the business problem, identify where technology can create the most value, design the solution, and then build and integrate it into your existing workflow.

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