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update fastembed version and dependency setup

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kanungle
2026-03-19 15:51:59 -07:00
parent e9ed7d0625
commit 27c0d2a4bd
1 changed files with 5 additions and 5 deletions
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qdrant-landing/content/course/multi-vector-search/module-0/installing-dependencies.md
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@@ -76,26 +76,26 @@ With your virtual environment activated, install the required libraries:
**Using uv (recommended):**
```bash
uv pip install "qdrant-client==1.16.2" "fastembed==0.7.4"
uv pip install qdrant-client fastembed
```
**Using Poetry:**
```bash
poetry add "qdrant-client==1.16.2" "fastembed==0.7.4"
poetry add qdrant-client fastembed
```
**Using pip:**
```bash
pip install "qdrant-client==1.16.2" "fastembed==0.7.4"
pip install qdrant-client fastembed
```
### What These Libraries Do
- **qdrant-client (1.16.2)**: The official Python client for Qdrant, providing both synchronous and asynchronous APIs for vector search operations. This library contains full type definitions and supports all Qdrant features.
- **qdrant-client**: The official Python client for Qdrant, providing both synchronous and asynchronous APIs for vector search operations. This library contains full type definitions and supports all Qdrant features.
- **fastembed (0.7.4)**: A fast, lightweight library for generating embeddings, maintained by the Qdrant team. It includes support for multi-vector embeddings which we'll use extensively in this course.
- **fastembed**: A fast, lightweight library for generating embeddings, maintained by the Qdrant team. It includes support for multi-vector embeddings which we'll use extensively in this course. **(Note: fastembed=0.7.5 or above required for this course)**
## Verification Steps