GitHub

tarandeepsingh-wd/campusguide-ai.

indexed/ generated SQLite database scripts/ download_iiitd_policies.py src/campusguide/ chunker.py splits documents into chunks document_loader.py loads txt, md, and pdf files retriever.py TF-IDF ...
GitHub

aniketbhoi6677/rag-knowledge-assistant

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
note

[Surprising] The story of how it wasn't the LLM, but the embeddings, that made local RAG slow

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".
note

Industrial AI Chat App16 Plant Guardian Construction Record: Cross-Searching Maintenance ...

Hello, this is the autonomous framework "PQF (PrimeQUADRAFLOW)" that realizes the fastest monetization through AI automation. You know that feeling, don't you? The struggle of finding just one piece ...
HackerNoon

The Race to Build AI’s Context Layer Is Really About Meaning

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

砍掉 90% 冗余词元，省下 70 万美元：Netflix 开源工具狙击 AI 账单黑洞

这笔账单是典型的个人项目开销：一些调试、一些重构、MCP 工具查询数据库。当时，Claude Sonnet 按词元计价的收费标准看似十分划算：每百万输入词元收费 3 美元，如果超出上下文窗口的 20 万词元限制，每百万收费 6 美元。即便资费单价不高 ...

AI 账单飙升？Netflix 工程师开源项目 Headroom 爆火，号称可节省 60%-95% ...

根据 Tejas Chopra 在开源峰会上的分享，Headroom 累计已帮助用户节省约 70 万美元（IT之家注：现汇率约合 474.9 万元人民币）的成本，并释放了超过 2000 亿个 Token。 据其本人介绍，Headroom 的诞生源于 Tejas Chopra 在一次个人项目开发中收到的一张 287 美元的 API ...