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on
1
- Introduction
2
- Text Tutorial
3
- FAQ Data Source
4
- Google Colab Setup
5
- Create Dataset
6
- LLM from HuggingFace in LangChain
7
- Embedding Data
8
- Conversational Chain
9
- QA Chain
10
- Chatbot Class
11
- Conclusion
Description:
Build a customer support chatbot that leverages custom knowledge from an FAQ help center using an open-source LLM and free embeddings through LangChain. Learn to create a chatbot capable of delivering real-time responses with streaming on a single GPU (T4). Explore the process of constructing the chatbot, including setting up Google Colab, creating a dataset, integrating an LLM from HuggingFace, embedding data, implementing conversational and QA chains, and developing a chatbot class. Evaluate the chatbot's response quality by testing it with various questions and gain insights into building effective AI-powered customer support solutions.

Customer Support Chatbot Using Custom Knowledge Base with LangChain and Private LLM

Venelin Valkov
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