Local LLMs degrade fast when context fills up. An embedding model and RAG pipeline fixes that — and runs entirely on your ...

近年来，大模型文本检索（LLM-based Text Retrieval）技术发展迅猛，SOTA 的 LLM Embedding Model 参数量普遍在 7B 以上，相关性搜索性能提升的同时，部署成本也大幅增长。 众所周知，LLM Embedding Model 是一种对称式双塔结构，Query 和 Doc 侧常共享同一个完整的 LLM。但一个 ...

Google’s open-source Gemma is already a small model designed to run on devices like smartphones. However, Google continues to expand the Gemma family of models and optimize these for local usage on ...

These MCP servers make my local LLM even better.

How to implement a local RAG system using LangChain, SQLite-vss, Ollama, and Meta’s Llama 2 large language model. In “Retrieval-augmented generation, step by step,” we walked through a very simple RAG ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Qodo, an AI-driven code quality platform ...

Google on Friday added a new, experimental “embedding” model for text, Gemini Embedding, to its Gemini developer API. Embedding models translate text inputs like words and phrases into numerical ...

Google has introduced Gemini Embedding 2, its latest multimodal AI model designed to process text, images, video, audio and documents in a unified vector space. AI has been changing swiftly to the non ...