Browse categories
English
$
USD
Connect to your AI
I will build a private ai knowledge base assistant using rag and python
Debasis B
About this gig
Need a private AI knowledge base assistant that answers questions from your own documents? I build custom RAG chatbots in Python and FastAPI so your team can chat with PDFs, manuals, policies and internal docs and get source-backed answers.
WHAT YOU GET
RAG chatbot / document Q&A system built around your files
Document ingestion, chunking, embeddings and semantic vector search
Answers with source references
Runs locally or on your own server (Ollama / Llama or your own model endpoint)
Clean source code, setup guide and a demo on sample documents
BEST FOR
Internal knowledge base search, support documentation, technical manuals, policy and compliance docs, SaaS help centers.
TECH STACK
Python, FastAPI, LangChain, SQLite, vector search, local LLMs, OpenAI-compatible APIs.
WHY ME
20+ years in software architecture. Tested, documented, maintainable delivery - not a throwaway demo.
NOT INCLUDED
Paid LLM API usage, cloud hosting and GPU costs are charged by the provider, not by me.
Message me your document types and goals before ordering and I will recommend the right package.
Get to know Debasis B
Debasis B
Founder And Director of Debmedia Technologies LLP
- FromIndia
- Member sinceJan 2016
- Last delivery6 years
Languages
English
I am a software and website developer having over 15 years of experiences. After spending 15 years now I become the Founder And Director at Debmedia Technologies LLP.
My Portfolio
FAQ
Do I need a paid AI API or cloud hosting?
No, not by default. The core system supports local document processing and search, and can use a local model if your hardware supports it. Paid LLM APIs, hosting and GPU costs are optional and not included unless agreed.
Which document types can the AI assistant search?
Common formats such as PDF, DOCX, TXT, Markdown and HTML can be supported. The Basic package covers two agreed formats; Standard and Premium support more. Send me sample files before ordering and I will confirm compatibility.
What do you need from me before starting?
Sample documents, your preferred deployment environment, the expected number and size of files, whether you need a local model or your own model endpoint, and any authentication or integration requirements.
