I Cut 308 Notes Into 3,936 Cards: 195 Lines of Hand-Rolled Offline RAG, Then Let a Local Model Query It My knowledge base has 308 compiled notes in it: summaries and concept entries, written over …
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Try itAn interactive guide to the Model Context Protocol: every JSON-RPC message on the wire, step by step. Transports, OAuth, tools, resources, sampling, elicitation, tasks, tool search and codemode.
What EmDash is, how it's built, what the admin and the MCP server look like, where it runs and what it costs, and where it falls short of WordPress and Ghost.
Farewell, bloated AI apps!
A vector database stores data as lists of numbers called embeddings, which lets it search by meaning instead of matching exact keywords. It's the piece behind a lot of recommendation systems, RAG apps
...explained visually (with tradeoffs in production).
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GitHub là kho lớn nhất chứa công cụ AI miễn phí nhưng phần lớn lập trình viên chưa khai thác hiệu quả. Các agent như Claude Code thường được cài đặt mà không tận dụng được nguồn tài nguyên phong phú trên GitHub. Các kho lưu trữ AI hàng đầu như LangChain, LlamaIndex hay AutoGPT cung cấp framework mạnh để xây dựng agent thông minh hơn. Việc kết hợp các công cụ này có thể tăng đáng kể khả năng xử lý và tự động hóa của ứng dụng AI.
Bài viết này giúp bạn khám phá 10 kho GitHub AI mạnh nhất để tối ưu hóa khả năng của trợ lý lập trình.
The Model Context Protocol (MCP) helps connect LLMs to external tools, databases, and APIs. But giving AI agents hands and feet to take real-world actions introduces an entirely new attack surface. We
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