
Harikrupa
A CLI that answers dev burnout with the Bhagavad Gita
Harikrupa launched on April 20, 2026 with 1 votes, #8,101 of 21,248 launches that month. The site was not reachable when checked in September 2026.
What it does
Harikrupa is an offline-first CLI that answers your life, career, and burnout questions with verses from Srimad Bhagavad Gita. Hybrid RAG: a local ONNX vector index finds the most relevant shloka on your machine in milliseconds.. your query never leaves your laptop for retrieval. Groq-powered inference generates a contextual, bilingual response. Lose wifi? It falls back gracefully to offline mode and prints the raw Sanskrit and English verse. No telemetry. 4 dependencies. Just npm i harikrupa
Does a similar job
all alternatives →- SB
BhagavadGita.io (Bhagavad Gita – Simplified)2018 · bhagavadgita.io · ▲15Looking for the best free Bhagavad Gita app? All 18 chapters and 700 verses in 7 languages, Sanskrit audio, offline reading and Gita GPT AI, on Android and iPhone. 500,000+ downloads, rated 4.8. No ads, no subscription, ever.
- BGBhagavad Gita Android App for searching verses by topics like anxiety2021 · play.google.com · ▲90
Geetanjali – RAG-powered ethical guidance from the Bhagavad GitaDec 2025 · geetanjaliapp.com · ▲7I built a RAG application that retrieves relevant Bhagavad Gita verses for ethical dilemmas and generates structured guidance. The problem: The Gita has 701 verses. Finding applicable wisdom for a specific situation requires either deep familiarity or hours of reading. How it works: 1. User describes their ethical dilemma 2. Query is embedded using sentence-transformers 3. ChromaDB retrieves top-k semantically similar verses 4. LLM generates structured output: 3 options with tradeoffs, implementation steps, verse citations Tech stack: - Backend: FastAPI, PostgreSQL, Redis - Vector DB:…
Open-Source Colab Notebooks to Implement Advanced RAG Techniques2024 · github.com · ▲98Hey HN fam, We’ve seen developers spend a lot of time implementing advanced RAG techniques from scratch. While these techniques are essential for improving performance, their implementation requires a lot of effort and testing! To help with this process, our team (Athina AI) has released Open-Source Advanced RAG Cookbooks. This is a collection of ready-to-run Google Colab notebooks featuring the most commonly implemented techniques. Please show us some love by starring the repo if you find this useful!

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