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[Feature]: Add posthog anonymous telemetry and update docs (#867)

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This commit is contained in:
Deshraj Yadav
2023-10-29 01:20:21 -07:00
committed by GitHub
parent 35c2b83015
commit 81336668b3
34 changed files with 242 additions and 195 deletions
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14
docs/components/vector-databases.mdx
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@@ -22,7 +22,7 @@ Utilizing a vector database alongside Embedchain is a seamless process. All you
<CodeGroup>
```python main.py
from embedchain import App
from embedchain import Pipeline as App
# load chroma configuration from yaml file
app = App.from_config(yaml_path="config1.yaml")
@@ -61,7 +61,7 @@ pip install --upgrade 'embedchain[elasticsearch]'
<CodeGroup>
```python main.py
from embedchain import App
from embedchain import Pipeline as App
# load elasticsearch configuration from yaml file
app = App.from_config(yaml_path="config.yaml")
@@ -89,7 +89,7 @@ pip install --upgrade 'embedchain[opensearch]'
<CodeGroup>
```python main.py
from embedchain import App
from embedchain import Pipeline as App
# load opensearch configuration from yaml file
app = App.from_config(yaml_path="config.yaml")
@@ -125,7 +125,7 @@ Set the Zilliz environment variables `ZILLIZ_CLOUD_URI` and `ZILLIZ_CLOUD_TOKEN`
```python main.py
import os
from embedchain import App
from embedchain import Pipeline as App
os.environ['ZILLIZ_CLOUD_URI'] = 'https://xxx.zillizcloud.com'
os.environ['ZILLIZ_CLOUD_TOKEN'] = 'xxx'
@@ -164,7 +164,7 @@ In order to use Pinecone as vector database, set the environment variables `PINE
<CodeGroup>
```python main.py
from embedchain import App
from embedchain import Pipeline as App
# load pinecone configuration from yaml file
app = App.from_config(yaml_path="config.yaml")
@@ -187,7 +187,7 @@ In order to use Qdrant as a vector database, set the environment variables `QDRA
<CodeGroup>
```python main.py
from embedchain import App
from embedchain import Pipeline as App
# load qdrant configuration from yaml file
app = App.from_config(yaml_path="config.yaml")
@@ -207,7 +207,7 @@ In order to use Weaviate as a vector database, set the environment variables `WE
<CodeGroup>
```python main.py
from embedchain import App
from embedchain import Pipeline as App
# load weaviate configuration from yaml file
app = App.from_config(yaml_path="config.yaml")