zilyova
Joined 1 karma
- I'm working on graph insight, a semantic graph tool for exploring research papers. It extracts keyphrases, builds a 3D graph, and lets you navigate from documents > topics > clusters.
So far: ~28k papers processed, 100k+ topics mapped. Use case: faster literature review, spotting hidden links, and seeing research areas as a connected landscape instead of isolated PDFs. I think this tool applicable for news/media streams too.
Example (Text-to-Speech papers): https://www.reddit.com/r/deeplearning/comments/1nic3ft/3d_se...
I’m curious - would this be useful as a standalone tool for researchers/engineers/other domain areas?
- I like it. Looks really useful.
- This is an amazing project. I like it.
- TTS api for voice chatbots for customer support teams.
* Frontend: Vue.js/JS
* ML/AI: PyTorch, ONNX Runtime, Transformers, LangGraph, LangChain, Azure OpenAI, Azure AI Search, Vertex AI, Dialogflow CX, CoquiTTS, RAG/Graph-RAG, Guardrails, NLP pipelines
* LLM Integrations: OpenAI
* ETL: Apache NiFi
* DevOps/Cloud: GCP (Pub/Sub, FireStore GCP CloudRun etc), Azure (Container Jobs, Azure AI Search), Docker, GitLab CI/CD
* RDBMS: PostgreSQL/pgvector, SQL Server