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LanceDB

🌎 lancedb.com

LanceDB is a developer-friendly, open source database designed specifically for multimodal AI applications. It offers features such as hyper scalable vector search, advanced retrieval for RAG, and the ability to handle large-scale AI datasets, making it an ideal foundation for AI applications.

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LanceDB - Latest News and Updates

• LanceDB has implemented a new contextual retrieval method using OpenAI models and Anthropic's Contextual Embeddings, improving retrieval accuracy by 35%.
• LanceDB introduced a PDF chat application using Retrieval-Augmented Generation methods and the Paler Text-to-Speech model for enhanced text and speech interaction.
• LanceDB has developed a CLI chatbot for SDK/Hardware documents using the Local RAG model with LLama3 and Openhermes Embeddings.
• LanceDB has integrated with DSPy to enhance prompt accuracy and with Prefect's ControlFlow 0.10 for persistent AI memory, and co-hosted the Foundation of Compound AI Meetup with Databricks on September 24th.
• Lei Xu, Co-founder and CTO of LanceDB, will present 'Petabyte Scale Multimodal AI in Production' at the Compound AI Systems Meetup on October 22.

• LanceDB has completed its SOC 2 Type II audit, ensuring high standards of security, availability, and confidentiality.
• Chang She, CEO of LanceDB, discussed using LanceDB in production to address challenges in storing, managing, and querying large-scale AI data at the AI Engineer World's Fair.
• LanceDB will host a session on October 22 featuring Eddy Xu, CTO and co-founder of LanceDB, along with speakers from Continuedev and Databricks.
• Tanay Mehta has left LanceDB as a Machine Learning Engineer in Germany to join Aleph Alpha as an AI Engineer.

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