Stremlit Qdrant Vector Management

Overview

Qdrant Vector Management is a Streamlit-based web application designed to simplify the process of managing your Qdrant vector database. This tool provides an intuitive interface for retrieving, searching, and deleting points from your Qdrant collections.

Features

• Manage Collections:

  • View all collections in a database
  • Create new collections
  • Delete collections

• Retrieve and Search:

  • View all points in a collection
  • Search points by ID or payload content
  • Display source file information
  • Delete selected points

• Upload to Vector Database:

  • Upload vectors from files
  • Add custom metadata
  • Add source document information
  • Add news metadata

Installation

1. Clone the repository:

   git clone
   cd 

2. Create a virtual environment (optional but recommended):

   python3 -m venv venv
   source venv/bin/activate

3. Install the required packages:

   pip install -r requirements.txt

4. Set up the environment variables:

   QDRANT_URL="http://localhost:6333"
   OPENAI_API_KEY="your-openai-api-key"
   EMDEDDING_MODEL="openai-embeeding-model"
   VECTOR_SIZE=768

5. Run the Streamlit app:

   streamlit run Qdrant_app.py