salesFAQBot

An intelligent Q&A system built on RAG (Retrieval-Augmented Generation) architecture, designed to provide fast and accurate answers to sales' FAQ. The system integrates vector retrieval, semantic search, and generative AI, offering a user-friendly web interface for real-time queries.

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2 Stars

0 Forks

2 Watchers

Python Language

53.9 SrcLog Score

Cost to Build

$27.5K

Market Value

$18.2K

How is this calculated?

Growth over time

1 data points · 2026-04-07 → 2026-04-07

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What is the xinhuang0716/salesFAQBot GitHub project? Description: "An intelligent Q&A system built on RAG (Retrieval-Augmented Generation) architecture, designed to provide fast and accurate answers to sales' FAQ. The system integrates vector retrieval, semantic search, and generative AI, offering a user-friendly web interface for real-time queries.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone salesFAQBot

Clone via HTTPS

git clone https://github.com/xinhuang0716/salesFAQBot.git

Clone via SSH

[email protected]:xinhuang0716/salesFAQBot.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the salesFAQBot issue tracker:

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