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From CLIP to JinaCLIP: General Text-Image Representation Learning for Search and Multimodal RAG
In this blog, we will implement a multimodal similarity search system. This system will use JinaCLIP to generate multimodal embeddings and the Milvus vector database to store and retrieve similar embeddings given a certain query.
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Harnessing Function Calling to Build Smarter LLM Applications
Function calling allows LLMs to go beyond the limitations of their static training data by querying live databases, executing commands, or performing real-time calculations.
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How to Load Test an LLM API with Gatling
Load testing simulates real-world traffic to evaluate your API's performance under different conditions. Learn how to load-test LLM or RAG apps with Gatling.