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The Training LanceDB - Managing Vectors for AI Applications training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
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Immersive discovery of LanceDB through quick pip installation, creation of a first vector collection from OpenAI embeddings, exploration of hybrid text-vector data schemas, practical exercises on ingesting real datasets such as company images or texts, configuration of HNSW indexes to accelerate searches, production of a functional database prototype with metadata, while learning best practices for immediate scalability in production.
Deep dive into advanced queries with cosine similarity and hybrid filtering, implementation of KNN searches on concrete business cases like product recommendation, seamless integration with LangChain for RAG, exercises on performance optimization with batching and upsert, development of a complete embedding-to-query pipeline via Streamlit, robustness tests on increasing data volumes, delivery of a deployable ongoing project with documentation for immediate team reuse.
Target audience
Data engineers, machine learning developers, and data scientists for AI skills development
Prerequisites
Python basics, SQL fundamentals, and vector embeddings concepts
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