Haystack Vs LangChain - The documentation quality of Haystack is beneficial for RAG. However, the LangChain agents framework and its applications across various industries impress me.
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Confused about what to choose between Open AI assistants and LangChain agents? This guide breaks out the key differences between these two for you.
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Explore the benefits of LangGraph for building LLM-based applications. Unlock new possibilities and streamline your development workflow with this cutting-edge technology.
On-device fine-tuning refers to a machine learning technique where a pre-trained model is further trained or adapted on a specific device, such as a smartphone, rather than relying solely on centralized servers.
RAG has external knowledge read whereas fine-tuning comes with training data. Refer to this RAG v/s Fine-tuning guide to know the use cases and benefits of both.