Adding milvus/zilliz into docs (#2686)

Adding Milvus and Zilliz to integrations.md and creating an ecosystems
doc for Zilliz.

Signed-off-by: Filip Haltmayer <filip.haltmayer@zilliz.com>

docs/ecosystem/zilliz.md

@@ -0,0 +1,21 @@
+# Zilliz
+
+This page covers how to use the Zilliz Cloud ecosystem within LangChain.
+Zilliz uses the Milvus integration. 
+It is broken into two parts: installation and setup, and then references to specific Milvus wrappers.
+
+## Installation and Setup
+- Install the Python SDK with `pip install pymilvus`
+## Wrappers
+
+### VectorStore
+
+There exists a wrapper around Zilliz indexes, allowing you to use it as a vectorstore,
+whether for semantic search or example selection.
+
+To import this vectorstore:
+```python
+from langchain.vectorstores import Milvus
+```
+
+For a more detailed walkthrough of the Miluvs wrapper, see [this notebook](../modules/indexes/vectorstores/examples/zilliz.ipynb)

docs/reference/integrations.md

@@ -55,6 +55,12 @@ The following use cases require specific installs and api keys:
 - _LlamaCpp_:
   - Install requirements with `pip install llama-cpp-python`
   - Download model and convert following [llama.cpp instructions](https://github.com/ggerganov/llama.cpp)
+- _Milvus_:
+  - Install requirements with `pip install pymilvus`
+  - In order to setup a local cluster, take a look [here](https://milvus.io/docs).
+- _Zilliz_:
+  - Install requirements with `pip install pymilvus`
+  - To get up and running, take a look [here](https://zilliz.com/doc/quick_start).
 
 
 If you are using the `NLTKTextSplitter` or the `SpacyTextSplitter`, you will also need to install the appropriate models. For example, if you want to use the `SpacyTextSplitter`, you will need to install the `en_core_web_sm` model with `python -m spacy download en_core_web_sm`. Similarly, if you want to use the `NLTKTextSplitter`, you will need to install the `punkt` model with `python -m nltk.downloader punkt`.