Merge branch 'master' into pprados/02-pymupdf

Author: pprados

docs/docs/concepts/retrievers.mdx

@@ -90,7 +90,7 @@ LangChain has retrievers for many popular lexical search algorithms / engines.
 ### Vector store 
 
 [Vector stores](/docs/concepts/vectorstores/) are a powerful and efficient way to index and retrieve unstructured data. 
-An vectorstore can be used as a retriever by calling the `as_retriever()` method.
+A vectorstore can be used as a retriever by calling the `as_retriever()` method.
 
 ```python
 vectorstore = MyVectorStore()

docs/docs/integrations/providers/fmp-data.mdx

@@ -0,0 +1,21 @@
+# FMP Data (Financial Data Prep)
+
+> [FMP-Data](https://pypi.org/project/fmp-data/) is a python package for connecting to
+> Financial Data Prep API. It simplifies how you can access production quality data.
+
+
+## Installation and Setup
+
+Get an `FMP Data` API key by
+visiting [this page](https://site.financialmodelingprep.com/pricing-plans?couponCode=mehdi).
+ and set it as an environment variable (`FMP_API_KEY`).
+
+Then, install [langchain-fmp-data](https://pypi.org/project/langchain-fmp-data/).
+
+## Tools
+
+See an [example](https://github.com/MehdiZare/langchain-fmp-data/tree/main/docs).
+
+```python
+from langchain_fmp_data import FMPDataTool, FMPDataToolkit
+```

docs/docs/integrations/retrievers/elasticsearch_retriever.ipynb

@@ -107,7 +107,7 @@
    "source": [
     "### Configure\n",
     "\n",
-    "Here we define the conncection to Elasticsearch. In this example we use a locally running instance. Alternatively, you can make an account in [Elastic Cloud](https://cloud.elastic.co/) and start a [free trial](https://www.elastic.co/cloud/cloud-trial-overview)."
+    "Here we define the connection to Elasticsearch. In this example we use a locally running instance. Alternatively, you can make an account in [Elastic Cloud](https://cloud.elastic.co/) and start a [free trial](https://www.elastic.co/cloud/cloud-trial-overview)."
    ]
   },
   {