I was writing a blogpost on Medium and I noticed errors, tried to open LinkedIn? down. tried downdetector? down. Claude.ai is also down

Got tired of wiring up vector stores, embedding models, and chunking logic every time I needed RAG. So I built piragi.

  from piragi import Ragi

  kb = Ragi(\["./docs", "./code/\*\*/\*.py", "https://api.example.com/docs"\])

  answer = kb.ask("How do I deploy this?")

That's the entire setup. No API keys required - runs on Ollama + sentence-transformers locally.

What it does:

  - All formats - PDF, Word, Excel, Markdown, code, URLs, images, audio

  - Auto-updates - watches sources, refreshes in background, zero query latency

  - Citations - every answer includes sources

  - Advanced retrieval - HyDE, hybrid search (BM25 + vector), cross-encoder reranking

  - Smart chunking - semantic, contextual, hierarchical strategies

  - OpenAI compatible - swap in GPT/Claude whenever you want

Quick examples:

  # Filter by metadata
  answer = kb.filter(file_type="pdf").ask("What's in the contracts?")

  #Enable advanced retrieval

    kb = Ragi("./docs", config={
     "retrieval": {
        "use_hyde": True,
        "use_hybrid_search": True,
        "use_cross_encoder": True
     }
   })


  # Use OpenAI instead  
  kb = Ragi("./docs", config={"llm": {"model": "gpt-4o-mini", "api_key": "sk-..."}})

Install:

  pip install piragi
  PyPI: https://pypi.org/project/piragi/

Would love feedback. What's missing? What would make this actually useful for your projects?

Hey there! I just finished a youtube video explaining our donut chess in detail: https://youtu.be/iRcfHCPFgkM

So I thought it'd be cool to show it off here too- it can be played around with at mchess.io/donut - you can also set up an AI or online game on the site.

This is all indie dev work from a couple friends and myself.

This article is basically an exercise in understanding ECDSA (Elliptic Curve Digital Signature Algorithm) from scratch. All I assume is some basic math and a willingness to pick up a bit of abstract math along the way. I try to explain everything as intuitively as possible, but, despite that, the article still demands some serious effort from the reader.

When I analyzed the Extended Euclidean Algorithm, one thing led to another, and I ended up writing a little intro to generating functions. You can even jump to that part and ignore the rest, if you want! Other readers may instead choose to skip that section altogether, as it's self-contained.

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