In this video, we take you through the process of creating a chatbot that leverages the power of Langchain, OpenAI's ChatGPT, Pinecone, and Streamlit Chat. This chatbot not only responds to user queries but also refines queries and pulls information from its own document index, making it incredibly efficient and capable of answering in-depth questions.
Code and explanation: [ Ссылка ]
AI Demos: [ Ссылка ]
AIDemos.com is your go-to directory for video demos of the latest AI tools. AI Demos's goal is to educate and inform about the possibilities of AI.
Building a Document-based Question Answering System with LangChain, Pinecone, and LLMs like GPT-4.
[ Ссылка ]
Revolutionizing Search: How to Combine Semantic Search with GPT-3 Q&A
[ Ссылка ]
GPT-4 API Tutorial: [ Ссылка ]
ChatGPT API Tutorial: [ Ссылка ]
Building a GPT-4 Chatbot using ChatGPT API and Streamlit Chat
[ Ссылка ]
🚀 Top Rated Plus Data Science Freelancer with 8+ years of experience, specializing in NLP and Back-End Development. Founder of FutureSmart AI, helping clients build custom AI NLP applications using cutting-edge models and techniques. Former Lead Data Scientist at Oracle, primarily working on NLP and MLOps.
💡 As a Freelancer on Upwork, I have earned over $60K with a 100% Job Success rate, creating custom NLP solutions using GPT-3, ChatGPT, GPT-4, and Hugging Face Transformers. Expert in building applications involving semantic search, sentence transformers, vector databases, and more.
![](https://s2.save4k.ru/pic/nAKhxQ3hcMA/maxresdefault.jpg)