Built a fully local RAG (Retrieval-Augmented Generation) system from scratch today — Python, FastAPI, ChromaDB, and Mistral 7B running via Ollama. Zero cloud. Zero API costs. Your data never leaves ...

The schemas are written as plain, readable JSON — not inferred from Python types — so you edit exactly what the model sees. The model never sees your Python. It reads a JSON description of your tools ...

FlashRAG is a Python toolkit for the reproduction and development of Retrieval Augmented Generation (RAG) research. Our toolkit includes 36 pre-processed benchmark RAG datasets and 23 state-of-the-art ...

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Tech Mahindra’s adoption of Perplexity Enterprise Pro is sparking a hiring surge in AI solutioning and RevOps. Discover the ...

Has anyone ever tried building their own local RAG system to have an AI search through and answer questions about their own documents? If you have, the first wall you usually hit is that it's "slow".

刚看到在 HF 模型热榜上挂了好多天的 Qwythos-9B，Claude 思维加持 + 100万上下文，只有9B，消费级显卡轻松运行（tips：拉满1M有难度），咱们一起看下 原生 Function Calling：遵循 Qwen3.5 的规范，不需要额外包一层 wrapper，也不用专门为工具再微调 带工具能自我纠错：给 ...

Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...

This is a compelling opportunity to join a market leader where you will work at the intersection of data, machine learning, and business impact, using advanced analytics to drive strategic ...