Provides a lightweight vector store with TF-IDF search capabilities for various document types.
This tool offers a versatile solution for managing and searching local documents. It features a lightweight vector store utilizing TF-IDF for efficient search across HTML, Markdown, and PDF files. Users can interact with it via a FastAPI HTTP API, a command-line interface, or an interactive vector store manager, making it suitable for both standalone use and integration into larger systems. The comprehensive deployment options, including Docker and Docker Compose, ensure easy setup and scalability.
Key Features
01Lightweight TF-IDF vector search
02FastAPI HTTP API for ingestion and querying
03Interactive CLI Vector Store Manager
04Support for HTML, Markdown, and PDF document ingestion
05Flexible deployment with Docker and Docker Compose
060 GitHub stars
Use Cases
01Building local search functionality for document collections
02Integrating vector search capabilities into web applications
03Managing and querying diverse document types (HTML, MD, PDF) within a local environment