lancedb/docs/src/examples/python_examples/chatbot.md

Chatbot applications with LanceDB 🤖

Create innovative chatbot applications that utilizes LanceDB for efficient vector-based response generation! 🌐✨

Introduction 👋✨

Users can input their queries, allowing the chatbot to retrieve relevant context seamlessly. 🔍📚 This enables the generation of coherent and context-aware replies that enhance user experience. 🌟🤝 Dive into the world of advanced conversational AI and streamline interactions with powerful data management! 🚀💡

Chatbot	Description	Links
Databricks DBRX Website Bot ⚡️	Engage with the Hogwarts chatbot, that uses Open-source RAG with DBRX, LanceDB and LLama-index with Hugging Face Embeddings, to provide interactive and engaging user experiences. ✨
CLI SDK Manual Chatbot Locally 💻	CLI chatbot for SDK/hardware documents using Local RAG with LLama3, Ollama, LanceDB, and Openhermes Embeddings, built with Phidata Assistant and Knowledge Base 🤖
Youtube Transcript Search QA Bot 📹	Search through youtube transcripts using natural language with a Q&A bot, leveraging LanceDB for effortless data storage and management 💬
Code Documentation Q&A Bot with LangChain 🤖	Query your own documentation easily using questions in natural language with a Q&A bot, powered by LangChain and LanceDB, demonstrated with Numpy 1.26 docs 📚
Context-aware Chatbot using Llama 2 & LanceDB 🤖	Build conversational AI with a context-aware chatbot, powered by Llama 2, LanceDB, and LangChain, that enables intuitive and meaningful conversations with your data 📚💬
Chat with csv using Hybrid Search 📊	Chat application that interacts with CSV and Excel files using LanceDB’s hybrid search capabilities, performing direct operations on large-scale columnar data efficiently 🚀