From f906c1a25f48061751baf302411304cab61a9680 Mon Sep 17 00:00:00 2001 From: Manas Chopra <74074241+manas95826@users.noreply.github.com> Date: Thu, 30 Jul 2026 19:48:32 +0530 Subject: [PATCH] Update qdrant-landing/content/documentation/frameworks/langchain.md Co-authored-by: Anush --- qdrant-landing/content/documentation/frameworks/langchain.md | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/qdrant-landing/content/documentation/frameworks/langchain.md b/qdrant-landing/content/documentation/frameworks/langchain.md index 5e4e09970..a8bcc9cc8 100644 --- a/qdrant-landing/content/documentation/frameworks/langchain.md +++ b/qdrant-landing/content/documentation/frameworks/langchain.md @@ -128,9 +128,7 @@ query = "What did the president say about Ketanji Brown Jackson" found_docs = qdrant.similarity_search(query) ``` -If you'd rather not depend on an embedding provider's API, [FastEmbed](https://github.com/qdrant/fastembed) also lets you generate dense embeddings -locally. `langchain-community`, which used to ship a `FastEmbedEmbeddings` class, is [being sunset](https://github.com/langchain-ai/langchain-community/issues/674), -so wrap FastEmbed's `TextEmbedding` directly with LangChain's `Embeddings` interface instead: +If you'd rather not depend on an embedding provider's API, [FastEmbed](https://github.com/qdrant/fastembed) also lets you generate dense embeddings locally. You can wrap FastEmbed's `TextEmbedding` into LangChain's `Embeddings` interface: ```py from typing import List