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Instructional guides on connecting applications to vector stores for semantic search and retrieval.
Distinct from Vector Databases: Focuses on the educational tutorial aspect of integration rather than the database software or connectors themselves
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llm-universe is a structured learning resource and technical guide focused on the development of large language model applications. It serves as a curriculum for mastering model orchestration, the creation of autonomous conversational agents, and the implementation of retrieval-augmented generation systems. The project provides detailed instructions on connecting model APIs with memory and tools to create execution chains. It specifically covers the construction of retrieval pipelines, including the process of cleaning raw documents, generating embeddings, and integrating vector databases to
Includes instructions for processing raw documents into embeddings and implementing semantic search for language models.