|
@@ -48,7 +48,7 @@ pip install embedchain
|
|
|
|
|
|
## Usage
|
|
## Usage
|
|
|
|
|
|
-* Creating a chatbot involves 3 steps:
|
|
|
|
|
|
+Creating a chatbot involves 3 steps:
|
|
|
|
|
|
- import the App instance
|
|
- import the App instance
|
|
- add dataset
|
|
- add dataset
|
|
@@ -56,7 +56,7 @@ pip install embedchain
|
|
|
|
|
|
### App Types
|
|
### App Types
|
|
|
|
|
|
-* We have two types of App.
|
|
|
|
|
|
+We have two types of App.
|
|
|
|
|
|
#### 1. App (uses OpenAI models, paid)
|
|
#### 1. App (uses OpenAI models, paid)
|
|
|
|
|
|
@@ -249,4 +249,18 @@ embedchain is built on the following stack:
|
|
|
|
|
|
# Author
|
|
# Author
|
|
|
|
|
|
-* Taranjeet Singh ([@taranjeetio](https://twitter.com/taranjeetio))
|
|
|
|
|
|
+* Taranjeet Singh ([@taranjeetio](https://twitter.com/taranjeetio))
|
|
|
|
+
|
|
|
|
+## Citation
|
|
|
|
+
|
|
|
|
+If you utilize this repository, please consider citing it with:
|
|
|
|
+```
|
|
|
|
+@misc{embedchain,
|
|
|
|
+ author = {Taranjeet Singh},
|
|
|
|
+ title = {Embechain: Framework to easily create LLM powered bots over any dataset},
|
|
|
|
+ year = {2023},
|
|
|
|
+ publisher = {GitHub},
|
|
|
|
+ journal = {GitHub repository},
|
|
|
|
+ howpublished = {\url{https://github.com/embedchain/embedchain}},
|
|
|
|
+}
|
|
|
|
+```
|