A semantic optimization and chunking library.
Project description
Semanticopz
Semantic optimization tools.
Features
- Document Loaders: Extract text and metadata from PDF, DOCX, TXT, and Markdown files.
- Text Chunkers: Split documents into manageable pieces using standard size or recursive semantic boundaries (
CharacterChunker,RecursiveCharacterChunker). - Embedders: Convert text into vector embeddings using local models (
HuggingFaceEmbedder) or external APIs (OpenAIEmbedder). - Vector Indices: Store and search vectors efficiently in-memory (
InMemoryExactIndex) or using Faiss (FaissIndex). - Semantic Search: An orchestrator pipeline (
SemanticSearch) that ties loaders, chunkers, embedders, and indices together into a one-stop interface.
Installation
pip install -e .
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