Interactive HR Policy RAG Chatbot
Budget: ₹1,500 – ₹12,500 INR
I need a Retrieval-Augmented Generation chatbot that can instantly answer employees’ questions about our internal HR policy documents. The bot must handle both text and voice input/output so users can type or speak their queries and receive the appropriate response in English.
The first release will live inside our existing mobile app, so everything—from authentication to UI widgets—has to be optimized for iOS and Android deployment. A lightweight in-app webview is fine for the chat surface as long as it feels native and supports microphone access.
Here’s what I expect:
• End-to-end pipeline that chunks, embeds, and indexes my policy PDFs, Word files, and the occasional slide deck, then serves grounded answers using a modern LLM.
• Clear separation between the retrieval layer and the generation layer so we can swap models later if needed.
• A small admin panel or config file where I can add or replace documents without redeploying the whole app.
• Source citation returned with every answer so employees can jump straight to the relevant paragraph.
• Deployment instructions plus a short hand-over call to walk me through hosting and keys management.
I’m open to popular frameworks such as LangChain, LlamaIndex, or a custom FastAPI back end if you can justify the choice. Please include a brief note on how you’ll handle data security and mobile mic permissions.
Once the proof of concept is solid, I plan to expand to web and additional languages, so clean, maintainable code is important.
The first release will live inside our existing mobile app, so everything—from authentication to UI widgets—has to be optimized for iOS and Android deployment. A lightweight in-app webview is fine for the chat surface as long as it feels native and supports microphone access.
Here’s what I expect:
• End-to-end pipeline that chunks, embeds, and indexes my policy PDFs, Word files, and the occasional slide deck, then serves grounded answers using a modern LLM.
• Clear separation between the retrieval layer and the generation layer so we can swap models later if needed.
• A small admin panel or config file where I can add or replace documents without redeploying the whole app.
• Source citation returned with every answer so employees can jump straight to the relevant paragraph.
• Deployment instructions plus a short hand-over call to walk me through hosting and keys management.
I’m open to popular frameworks such as LangChain, LlamaIndex, or a custom FastAPI back end if you can justify the choice. Please include a brief note on how you’ll handle data security and mobile mic permissions.
Once the proof of concept is solid, I plan to expand to web and additional languages, so clean, maintainable code is important.