Enhance README with project details and usage

Expanded project description to include embedding models, vector database creation, and local inference details.

Author Mitja Felicijan <mitja.felicijan@gmail.com> 2026-02-20 14:13:15 +0100
Committer GitHub <noreply@github.com> 2026-02-20 14:13:15 +0100
Commit 809f5def0c3a49c10d41a8e2165192fe5fa938da (patch)
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An experiment using tiny LLMs as NPCs that could be embedded into the game.
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An experiment using tiny LLMs as NPCs that could be embedded into the game.
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Embed models into the game, build a simple vector database from text, embed 
  
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prompts, retrieve top‑k by cosine similarity, and feed context into tiny 
  
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CPU LLMs for NPC interactions.
 
  
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**No external API calls.** Everything is local, directly using GGUF models 
  
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and [llama.cpp](https://github.com/ggml-org/llama.cpp) for inference.
 
  
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https://github.com/user-attachments/assets/863b75eb-0da7-4235-8112-f00bc82d81f6
 
  
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> [!NOTE]
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> [!NOTE]
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> This project is just for fun, to see how LLMs would fare as NPCs. Because of
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> This project is just for fun, to see how LLMs would fare as NPCs. Because of
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> the non-deterministic nature of LLMs, the results vary and are often quite
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> the non-deterministic nature of LLMs, the results vary and are often quite
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