From e7d6b25653da5adf00500d169c6822fd483b4fa7 Mon Sep 17 00:00:00 2001 From: wangda <38549158+daziz@users.noreply.github.com> Date: Wed, 21 Aug 2024 20:49:12 +0800 Subject: [PATCH] docs:Correcting spelling mistakes (#25612) --- docs/docs/integrations/providers/marqo.md | 2 +- docs/docs/integrations/providers/premai.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/docs/integrations/providers/marqo.md b/docs/docs/integrations/providers/marqo.md index 106db08599dcf..1e18569309ee2 100644 --- a/docs/docs/integrations/providers/marqo.md +++ b/docs/docs/integrations/providers/marqo.md @@ -21,7 +21,7 @@ To run Marqo locally with our docker image, [see our getting started.](https://d There exists a wrapper around Marqo indexes, allowing you to use them within the vectorstore framework. Marqo lets you select from a range of models for generating embeddings and exposes some preprocessing configurations. -The Marqo vectorstore can also work with existing multimodel indexes where your documents have a mix of images and text, for more information refer to [our documentation](https://docs.marqo.ai/latest/#multi-modal-and-cross-modal-search). Note that instaniating the Marqo vectorstore with an existing multimodal index will disable the ability to add any new documents to it via the langchain vectorstore `add_texts` method. +The Marqo vectorstore can also work with existing multimodal indexes where your documents have a mix of images and text, for more information refer to [our documentation](https://docs.marqo.ai/latest/#multi-modal-and-cross-modal-search). Note that instantiating the Marqo vectorstore with an existing multimodal index will disable the ability to add any new documents to it via the langchain vectorstore `add_texts` method. To import this vectorstore: ```python diff --git a/docs/docs/integrations/providers/premai.md b/docs/docs/integrations/providers/premai.md index 7bf88d1fd0208..4dc66d808812e 100644 --- a/docs/docs/integrations/providers/premai.md +++ b/docs/docs/integrations/providers/premai.md @@ -319,7 +319,7 @@ def multiply(a: int, b: int) -> int: ### Binding tool schemas with our LLM -We will now use the `bind_tools` method to convert our above functions to a "tool" and binding it with the model. This means we are going to pass these tool informations everytime we invoke the model. +We will now use the `bind_tools` method to convert our above functions to a "tool" and binding it with the model. This means we are going to pass these tool information everytime we invoke the model. ```python tools = [add, multiply]