Pham Vu Thai Minh 33e77a1007 Async support for FAISS (#11333) ...

Following this tutoral about using OpenAI Embeddings with FAISS

https://python.langchain.com/docs/integrations/vectorstores/faiss

```python
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.text_splitter import CharacterTextSplitter
from langchain.vectorstores import FAISS
from langchain.document_loaders import TextLoader
from langchain.document_loaders import TextLoader

loader = TextLoader("../../../extras/modules/state_of_the_union.txt")
documents = loader.load()
text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
docs = text_splitter.split_documents(documents)

embeddings = OpenAIEmbeddings()
```

This works fine

```python
db = FAISS.from_documents(docs, embeddings)
query = "What did the president say about Ketanji Brown Jackson"
docs = db.similarity_search(query)
```

But the async version is not

```python
db = await FAISS.afrom_documents(docs, embeddings)  # NotImplementedError
query = "What did the president say about Ketanji Brown Jackson"

docs = await db.asimilarity_search(query) # this will use await asyncio.get_event_loop().run_in_executor under the hood and will not call OpenAIEmbeddings.aembed_query but call OpenAIEmbeddings.embed_query
```

So this PR add async/await supports for FAISS

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>

2023-10-30 15:08:53 -07:00

..

cli

change project template (#12493)

2023-10-30 14:06:30 -07:00

experimental

bump to 36 (#12487)

2023-10-28 08:51:23 -07:00

langchain

Async support for FAISS (#11333)

2023-10-30 15:08:53 -07:00