lancedb/vectordb-recipes
📚 Tutoriallancedb
Tutorials for multimodal AI, RAG, and agents using vector search and LLMs.
This repository provides a comprehensive set of examples and tutorials for building multimodal AI applications, RAG pipelines, and agents using vector search and large language models. It covers deep learning embeddings, fine-tuning, and integrations with frameworks like LangChain and LlamaIndex. The notebooks are practical and educational, leveraging LanceDB as the vector database. Topics include multimodal search (text+image), conversational agents, and advanced RAG patterns. Actively maintained, it serves as a go-to resource for developers exploring vector search and LLM-powered applications.
💡Highlights
- ├─961 stars, 169 forks
- ├─Jupyter Notebook tutorials
- └─Covers RAG, agents, multimodal AI
🎯For
- ├─AI developers
- ├─Data scientists
- └─Researchers