nlweb-qdrant-vectordb 0.5.5

Qdrant provider for NLWeb - third-party vector database provider

nlweb-qdrant-vectordb

Qdrant provider for NLWeb.

Overview

This package provides Qdrant vector database support for NLWeb, demonstrating how to create third-party provider packages.

Installation

pip install nlweb-core nlweb-qdrant-vectordb

For LLM and embedding, you'll also need a model provider:

pip install nlweb-azure-models

Or use the bundle packages:

pip install nlweb-core nlweb-retrieval nlweb-models

Configuration

Create config.yaml:

retrieval:
  provider: qdrant
  import_path: nlweb_qdrant_vectordb.qdrant_client
  class_name: QdrantClient
  api_endpoint_env: QDRANT_URL  # Optional for remote Qdrant
  api_key_env: QDRANT_API_KEY  # Optional for remote Qdrant
  database_path_env: QDRANT_PATH  # Optional for local Qdrant
  index_name: my-collection

Authentication

For remote Qdrant:

export QDRANT_URL=https://your-cluster.qdrant.tech
export QDRANT_API_KEY=your_api_key_here

For local Qdrant:

export QDRANT_PATH=./data/qdrant

Usage

import nlweb_core

# Initialize
nlweb_core.init(config_path="./config.yaml")

# Search
from nlweb_core import retriever

results = await retriever.search(
    query="example query",
    site="example.com",
    num_results=10
)

Features

• Vector similarity search with Qdrant
• Support for both remote and local Qdrant instances
• HNSW-based efficient similarity search
• Configurable collection names
• API key authentication for remote instances
• Local file-based storage option
• Compatible with NLWeb Protocol v0.5

Creating Your Own Provider Package

Use this package as a template:

1. Create package structure:

   nlweb-yourprovider/
   ├── pyproject.toml
   ├── README.md
   └── nlweb_yourprovider/
       ├── __init__.py
       └── your_client.py
   

2. Implement VectorDBClientInterface:

   from nlweb_core.retriever import VectorDBClientInterface
   
   class YourClient(VectorDBClientInterface):
       async def search(self, query, site, num_results, **kwargs):
           # Your implementation
           pass
   

3. Declare dependencies in pyproject.toml:

   dependencies = [
       "nlweb-core>=0.5.0",
       "your-provider-sdk>=1.0.0",
   ]
   

4. Publish to PyPI:

   python -m build
   twine upload dist/*
   

License

MIT License - Copyright (c) 2025 Microsoft Corporation