Mouez-Yazidi/WhisperMesh

WhisperMesh is an advanced chatbot that integrates voice and text interactions, delivering personalized responses through LLM models and a sophisticated vector database. Leveraging the RAG framework from Haystack, it ensures engaging, data-driven conversations that adapt to your preferred style.

40
/ 100
Emerging

WhisperMesh helps you quickly get answers from your own PDF documents through natural conversations. You upload your PDFs, and then you can ask questions either by typing or speaking, receiving tailored, data-driven responses back. This is designed for anyone who needs to extract information from their documents efficiently, such as researchers, analysts, or administrative staff.

No commits in the last 6 months.

Use this if you need an interactive, voice or text-based chatbot to query your specific PDF documents and get accurate, personalized information.

Not ideal if you need to analyze large volumes of unstructured text data beyond PDFs, or if you prefer a traditional search engine over a conversational interface.

document-qa information-retrieval conversational-ai research-support knowledge-management
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 16 / 25

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Stars

15

Forks

7

Language

Python

License

MIT

Last pushed

Apr 23, 2025

Commits (30d)

0

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