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saisrikar-dev/low-resource-semantic-search

Domaine:

natural language processing

Type de record:

software
Créateur:
sai
Hôte:
Multilingual semantic search and query understanding for low-resource languages. # Multilingual Semantic Search and Query Understanding for Low-Resource Languages Using Transformer-Based Dense Retrieval Short repo name: `low-resource-semantic-search` This repository is a working reference implementation for multilingual semantic search over low-resource language content. It includes: - an installable Python package - an offline-safe dense retrieval baseline that works without external downloads - optional `sentence-transformers` integration for true transformer-based dense retrieval - query understanding with lightweight language hints and semantic expansion - JSONL corpus and evaluation data - a CLI for indexing, search, evaluation, and serving an HTTP API - unit tests ## Quickstart ### 1. Create a virtual environment ```powershell python -m venv .venv .\.venv\Scripts\Activate.ps1 ``` ### 2. Install the project ```powershell python -m pip install -e . ``` Optional transformer support: ```powershell python -m pip install -e .[transformer] ``` ### 3. Build the demo index ```powershell python main.py build-index --config configs/demo_build.json ``` ### 4. Run a search ```powershell python main.py search --index artifacts/demo_index.json --query "kilimo na maji" --top-k 3 ``` ### 5. Evaluate the demo set ```powershell python main.py evaluate --index artifacts/demo_index.json --queries data/demo_queries.jsonl --top-k 3 ``` ### 6. Start the API ```powershell python main.py serve --index artifacts/demo_index.json --host 127.0.0.1 --port 8080 ``` Then query it: ```powershell Invoke-RestMethod -Method Post -Uri 127.0.0.1 -ContentType 'application/json' -Body '{"query":"rural clinic support","top_k":2}' ``` ## Transformer Mode The default hashing encoder keeps the repo fully functional offline. If you have a locally available or cached multilingual sentence-transformer model, build a transformer index with: ```powershell python main.py build-index --corpus data/demo_corpus.jsonl --output artifacts/transformer_ind …