Navy10021/SLS
SLS : Neural Information Retrieval(IR)-based Semantic Search model
This tool helps legal professionals, researchers, or anyone needing to understand complex legal texts quickly. It takes your natural language questions and a collection of legal documents, then uses advanced AI to find and present the most relevant legal information, even if your query doesn't use exact legal jargon. The output is a list of legal documents ranked by their relevance to your query, helping you cut through dense legal materials more efficiently.
No commits in the last 6 months.
Use this if you need to find precise answers or relevant precedents within a large volume of legal documents using natural language queries, without needing to be an expert in legal terminology.
Not ideal if your primary goal is simple keyword matching rather than understanding the semantic meaning or if you are not working with legal or highly specialized textual data.
Stars
13
Forks
3
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 21, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/Navy10021/SLS"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
deepset-ai/haystack-tutorials
Here you can find all the Tutorials for Haystack 📓
aryn-ai/sycamore
🍁 Sycamore is an LLM-powered search and analytics platform for unstructured data.
MaartenGr/PolyFuzz
Fuzzy string matching, grouping, and evaluation.
unum-cloud/USearch
Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C,...
towhee-io/towhee
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.