InsureSearch — Hybrid Insurance Search Engine
InsureSearch is the retrieval layer of INSUREOS. It combines vector search, BM25 keyword search, reranking, and FastAPI serving for insurance knowledge retrieval and RAG pipelines.
What it does
- Indexes insurance documents and chunks.
- Supports semantic, keyword, and hybrid retrieval.
- Reranks results for better relevance.
- Powers retrieval for insurance assistants and internal search workflows.
Main Components
embedder.py— embeddings for semantic search.bm25.py— keyword retrieval.vector_store.py— vector storage and retrieval.reranker.py— reranking stage.hybrid_engine.py— fuses vector and keyword results.indexer.py— builds the search index.api.py— FastAPI endpoints.
Code and Learning Guide
- Search code: piyushptiwari/insureos-models/tree/main/search
- Full code repo: piyushptiwari/insureos-models
- Learning guide: LEARN.md
Relationship to the models
InsureSearch is typically used together with:
- InsureLLM-4B for retrieval-augmented generation.
- InsureDocClassifier for document routing.
- InsureNER for structured extraction before indexing.
Why this repo exists separately on Hugging Face
Users often expect a model card link when a model mentions a companion search engine. Publishing this folder as its own HF repo makes that link explicit and avoids broken references.