antonyragleap

3 ms·

1. 1.▲
   Show HN: RagLeap v0.4.0 – 46 AI roles, 8 connectors, 9 vector DBs(github.com)

   1 points by antonyragleap 20d ago|0 comments
2. 2.▲
   by antonyragleap 27d ago

   Fair! Lots of AI wrapper slop out there. Difference here: not a wrapper - it's 4 PyPI libs (26k downloads, 245+ tests) that run fully self-hosted. ragleap-rag supports 6 vector DBs + hybrid + reranking, ragleap-graph does Neo4j. MIT, B
3. 3.▲
   by antonyragleap 27d ago

   Thanks for checking! Built this as open alt to LangChain/CrewAI - 46 role-based AI Employees that run from your own docs on your own server. Self-hosted, BYOK, MIT. Stack is 4 PyPI packages (26k downloads) - ragleap-rag with 6 vector D
4. 4.▲
   Show HN: RagLeap Core – 46 AI Employees, open-source LangChain alt(github.com)

   2 points by antonyragleap 27d ago|3 comments
5. 5.▲
   by antonyragleap 2mo ago

   The practicality of Racket is interesting; sometimes a language wins simply because its ecosystem makes certain tasks much easier.
6. 6.▲
   by antonyragleap 2mo ago

   The back-and-forth questioning seems especially useful for exposing gaps in your mental model rather than just producing a summary.
7. 7.▲
   by antonyragleap 2mo ago

   The interesting part for me is whether DeepSeek V4's reasoning gains hold up on long-running tasks rather than short benchmarks.
8. 8.▲
   Show HN: Ragleap-RAG – RAG engine that documents what it doesn't do yet(github.com)

   1 points by antonyragleap 2mo ago|0 comments
9. 9.▲
   by antonyragleap 2mo ago

   I wonder whether the real value is the shared, versioned workflow rather than the prompt itself.
10. 10.▲
    by antonyragleap 2mo ago

    The hardest problem seems less like content generation and more like accurately modeling what a learner actually understands.
11. 11.▲
    by antonyragleap 2mo ago

    Visualizing MVCC and transaction visibility would make this even more valuable as a learning tool.
12. 12.▲
    by antonyragleap 2mo ago

    The interesting question is whether this generalizes beyond pelicans to benchmarks the model hasn't seen before.
13. 13.▲
    by antonyragleap 3mo ago

    blue light glasses did nothing for me, distance from the screen did everything.