mirror of
https://github.com/hwchase17/langchain
synced 2024-11-08 07:10:35 +00:00
10 lines
619 B
Markdown
10 lines
619 B
Markdown
|
# HyDE
|
||
|
|
|
||
|
|
Hypothetical Document Embeddings (HyDE) are a method to improve retrieval.
|
||
|
|
To do this, a hypothetical document is generated for an incoming query.
|
||
|
|
That document is then embedded, and that embedding is used to look up real documents similar to that hypothetical document.
|
||
|
|
The idea behind this is that the hypothetical document may be closer in the embedding space than the query.
|
||
|
|
For a more detailed description, read the full paper [here](https://arxiv.org/abs/2212.10496).
|
||
|
|
|
||
|
|
For this example, we use a simple RAG architecture, although you can easily use this technique in other more complicated architectures.
|