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Processes for clearing and regenerating all embeddings within a vector store to ensure data consistency.
Distinct from Vector Stores: Focuses on the synchronization and regeneration process rather than the data structure of the store itself.
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Casibase is an open-source platform that orchestrates multi-turn conversations with large language models and manages retrieval-augmented knowledge bases from a single interface. It provides a unified system for connecting to over 30 AI model providers, ingesting documents into vector embeddings for semantic search, and running autonomous agent loops that can drive a browser, search the web, execute commands, and integrate with external tools. The platform distinguishes itself by combining AI conversation management with infrastructure and application orchestration capabilities. It includes a
Regenerates vector embeddings for every file in a store, removing outdated vectors to keep the knowledge base synchronized.