ecoai-rag-encoder

Fitted retriever for FindExpert.ir ecoAI (not a 14B LoRA, not a MiniLM fork).

This environment has ~2GB RAM and no GPU, so Qwen/E5 cannot be trained here. v1 “fine-tune” = TF-IDF cosine fitted on sosa123454321/ecoai-knowledge.

RAG Space that uses these weights: sosa123454321/ecoai-space

File	Role
encoder.joblib	sklearn TfidfVectorizer + doc matrix
encoder.json	vocab + idf + sparse docs for the static Space

Query the same way the Space does: vectorize the user text with this vocabulary, cosine vs documents, then write with Gemini on findexpert.ir (or future Qwen2.5-0.5B LoRA from ecoai-sft).

Dense upgrade later: encode passage: / query: with intfloat/multilingual-e5-small — do not replace this repo with forked MiniLM weights.