krzysztof/landing_page
1
0
Fork 0
mirror of https://github.com/qdrant/landing_page.git synced 2026-09-30 16:38:31 +02:00
Code Issues Packages Projects Releases Wiki Activity

review

Browse Source
This commit is contained in:
Евгения Суходольская
2025-01-30 18:26:11 +01:00
parent 43650989dc
commit a0570c6eab
1 changed files with 5 additions and 9 deletions
Download Patch File Download Diff File Expand all files Collapse all files
qdrant-landing/content/documentation/fastembed/fastembed-rerankers.md
+5 -9
View File
@@ -13,16 +13,18 @@ Rerankers analyze in-depth token-level interactions between the query and each d
## Goal of this Tutorial
It's common to use [cross-enconder]((https://sbert.net/examples/applications/cross-encoder/README.html)) models as rerankers. This tutorial uses [Jina Reranker v2 Base Multilingual](https://jina.ai/news/jina-reranker-v2-for-agentic-rag-ultra-fast-multilingual-function-calling-and-code-search/) -- cross-encoder reranker supported in FastEmbed.
It's common to use [cross-enconder](https://sbert.net/examples/applications/cross-encoder/README.html) models as rerankers. This tutorial uses [Jina Reranker v2 Base Multilingual](https://jina.ai/news/jina-reranker-v2-for-agentic-rag-ultra-fast-multilingual-function-calling-and-code-search/) (licensed under CC-BY-NC-4.0) -- cross-encoder reranker supported in FastEmbed.
We use the `all-MiniLM-L6-v2` dense embedding model (also supported in FastEmbed) as a first-stage retriever and then refine results with `Jina Reranker v2`.
## Setup
Install `fastembed`.
Install `qdrant-client` with `fastembed`.
```python
pip install fastembed
pip install "qdrant-client[fastembed]"
```
Imports cross-encoders and text embeddings for the first-stage retrieval.
@@ -134,12 +136,6 @@ descriptions_embeddings = list(
Let's upload embeddings to Qdrant.
Install `qdrant-client`
```python
pip install qdrant-client
```
Qdrant Client has a simple in-memory mode that allows you to experiment locally on small data volumes.
Alternatively, you could use for experiments [a free cluster](https://qdrant.tech/documentation/cloud/create-cluster/#create-a-cluster) in Qdrant Cloud.