I will build a private ai chatbot for your documents with rag and source citation
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:
- "What's our refund policy?"
- "According to the employee handbook, how many days of leave are allowed?"
- "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
Founder, AI Engineer, Software Engineer, Automation API Integration Expert
- FromKenya
- Member sinceJun 2022
- Last delivery3 years
Languages
English
Other AI Development Services I Offer
FAQ
Can users see the source of the answer?
Yes. Source references can be included so users can inspect the supporting document sections.
Can you build this for private company documents?
Yes. Architecture and access controls can be designed around private business information.
Can it process PDFs?
Yes. PDF ingestion and extraction can be part of the system.
Can it connect to our website?
Yes. A RAG assistant can be exposed through a web interface or API.
Can you reduce hallucinations?
The system can use retrieval, citations, validation and other techniques to reduce unsupported responses, although no AI system should be treated as infallible.
