Create README.md

README.md

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+---
+license: apache-2.0
+language:
+- en
+tags:
+- rag
+- retrieval
+- semantic-search
+- faiss
+- bm25
+- cross-encoder
+- sentence-transformers
+- hybrid-search
+- dense-retrieval
+- ai
+- search
+pipeline_tag: sentence-similarity
+library_name: sentence-transformers
+---
+# ApexRetriever
+
+A lightweight hybrid retrieval system designed for fast semantic search and RAG pipelines.
+
+Built for:
+- semantic search
+- lightweight RAG
+- AI assistants
+- retrieval systems
+- local document QA
+
+---
+
+# Architecture
+
+## Stage ① — BM25 Sparse Retrieval
+Keyword-based retrieval for fast lexical matching.
+
+## Stage ② — Dense Semantic Search
+Powered by:
+
+- `BAAI/bge-small-en-v1.5`
+
+Uses FAISS vector indexing.
+
+## Stage ③ — CrossEncoder Reranking
+Final neural reranking using:
+
+- `cross-encoder/ms-marco-MiniLM-L-6-v2`
+
+---
+
+# Features
+
+- Hybrid retrieval
+- Fast indexing
+- Dense semantic search
+- Neural reranking
+- Lightweight deployment
+- GPU acceleration
+- FAISS support
+- Easy integration
+
+---
+
+# Repository Structure
+
+```text
+ApexRetriever/
+│
+├── bi_encoder/
+├── reranker/
+├── pipeline.py
+└── README.md
+````
+
+---
+
+# Installation
+
+```bash
+pip install -U \
+    sentence-transformers \
+    transformers \
+    faiss-cpu \
+    rank-bm25 \
+    torch
+```
+
+---
+
+# Quick Start
+
+```python
+from pipeline import ApexRetriever
+
+retriever = ApexRetriever(model_dir=".")
+
+# Example documents
+
+docs = [
+    "Python was created by Guido van Rossum.",
+    "Paris is the capital of France."
+]
+
+retriever.index_documents(docs)
+
+results = retriever.retrieve(
+    "Who created Python?",
+    top_k=3
+)
+
+print(results)
+```
+
+---
+
+# Use Cases
+
+* RAG systems
+* Semantic search
+* AI chatbots
+* Knowledge retrieval
+* Local search engines
+* Memory systems
+
+---
+
+# Performance
+
+Recommended:
+
+* CUDA GPU
+* 8GB+ RAM
+* Python 3.10+
+
+---
+
+# Components
+
+| Component     | Model                                |
+| ------------- | ------------------------------------ |
+| Dense Encoder | BAAI/bge-small-en-v1.5               |
+| Reranker      | cross-encoder/ms-marco-MiniLM-L-6-v2 |
+| Vector Engine | FAISS                                |
+| Sparse Search | BM25                                 |
+
+---
+
+# License
+
+Apache 2.0
+
+---
+> QuantaSparkLabs