Overview : Python Examples
To help you get started, we provide some examples, projects, and applications that use the LanceDB Python API. These examples are designed to get you right into the code with minimal introduction, enabling you to move from an idea to a proof of concept in minutes.
You can find the latest examples in ourVectorDB Recipes repository.
Introduction
Explore applied examples available as Colab notebooks or Python scripts to integrate into your applications. You can also checkout our blog posts related to the particular example for deeper understanding.
| Explore | Description |
|---|---|
| Build from Scratch with LanceDB 🛠️🚀 | Start building yourGenAI applications from theground up usingLanceDB's efficient vector-based document retrieval capabilities! Get started quickly with a solid foundation. |
| Multimodal Search with LanceDB 🤹♂️🔍 | Combinetext andimage queries to find the most relevant results usingLanceDB’s multimodal capabilities. Leverage the efficient vector-based similarity search. |
| RAG (Retrieval-Augmented Generation) with LanceDB 🔓🧐 | Build RAG (Retrieval-Augmented Generation) withLanceDB for efficientvector-based information retrieval and more accurate responses from AI. |
| Vector Search: Efficient Retrieval 🔓👀 | UseLanceDB's vector search capabilities to perform efficient and accuratesimilarity searches, enabling rapid discovery and retrieval of relevant documents in Large datasets. |
| Chatbot applications with LanceDB 🤖 | Createchatbots that retrieves relevant context forcoherent and context-aware replies, enhancing user experience through advanced conversational AI. |
| Evaluation: Assessing Text Performance with Precision 📊💡 | Developevaluation applications that allows you to input reference and candidate texts tomeasure their performance across various metrics. |
| AI Agents: Intelligent Collaboration 🤖 | EnableAI agents to communicate and collaborate efficiently through dense vector representations, achieving shared goals seamlessly. |
| Recommender Systems: Personalized Discovery 🍿📺 | Deliverpersonalized experiences by efficiently storing and querying item embeddings withLanceDB's powerful vector database capabilities. |
| Miscellaneous Examples🌟 | Find otherunique examples andcreative solutions usingLanceDB, showcasing the flexibility and broad applicability of the platform. |