repoGitHubTrust 82 · PrimaryPublished 27d agoLive · 27d ago
mzarnecki/php-rag
This application uses LLMs like DeepSeek, GPT-5, Claude, Gemini or Llama, Mixtral (locally) in order to generate text based on the user input. The user input is used to retrieve relevant information from the database and then the retrieved information is used to generate the text. This approach combines power of LLMs and access to source documen
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 51%Pydantic + OpenAI: The Cleanest Way to Get Structured Outputs from LLMs - Towards Data Science →
- PossiblePossibly related (embedding) · 47%Show HN: Bash4LLM+ – A lightweight, dependency-free Bash wrapper for LLM APIs →
