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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! 🚀💡

ChatbotDescriptionLinks
Databricks DBRX Website Bot ⚡️Engage with theHogwarts chatbot, that uses Open-source RAG withDBRX,LanceDB andLLama-index with Hugging Face Embeddings, to provide interactive and engaging user experiences. ✨GitHub
Python
CLI SDK Manual Chatbot Locally 💻CLI chatbot for SDK/hardware documents usingLocal RAG withLLama3,Ollama,LanceDB, andOpenhermes Embeddings, built withPhidata Assistant and Knowledge Base 🤖GitHub
Python
Youtube Transcript Search QA Bot 📹Search throughyoutube transcripts using natural language with a Q&A bot, leveragingLanceDB for effortless data storage and management 💬GitHub
Open In Collab
Python
Code Documentation Q&A Bot with LangChain 🤖Query your own documentation easily using questions in natural language with a Q&A bot, powered byLangChain andLanceDB, demonstrated withNumpy 1.26 docs 📚GitHub
Open In Collab
Python
Context-aware Chatbot using Llama 2 & LanceDB 🤖Buildconversational AI with acontext-aware chatbot, powered byLlama 2,LanceDB, andLangChain, that enables intuitive and meaningful conversations with your data 📚💬GitHub
Open In Collab
Ghost
Chat with csv using Hybrid Search 📊Chat application that interacts withCSV andExcel files usingLanceDB’s hybrid search capabilities, performing direct operations on large-scale columnar data efficiently 🚀GitHub
Open In Collab
Ghost

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