feat: bump version to 0.0.64 (#733)

embedchain/apps/Llama2App.py

@@ -17,13 +17,13 @@ class Llama2App(App):
     query(query): finds answer to the given query using vector database and LLM.
     chat(query): finds answer to the given query using vector database and LLM, with conversation history.
 
-    .. deprecated:: 0.0.59
+    .. deprecated:: 0.0.64
     Use `App` instead.
     """
 
     def __init__(self, config: CustomAppConfig = None, system_prompt: Optional[str] = None):
         """
-        .. deprecated:: 0.0.59
+        .. deprecated:: 0.0.64
         Use `App` instead.
 
         :param config: CustomAppConfig instance to load as configuration. Optional.

embedchain/apps/custom_app.py

@@ -21,7 +21,7 @@ class CustomApp(App):
     query(query): finds answer to the given query using vector database and LLM.
     chat(query): finds answer to the given query using vector database and LLM, with conversation history.
 
-    .. deprecated:: 0.0.59
+    .. deprecated:: 0.0.64
         Use `App` instead.
     """
 
@@ -36,7 +36,7 @@ class CustomApp(App):
         """
         Initialize a new `CustomApp` instance. You have to choose a LLM, database and embedder.
 
-        .. deprecated:: 0.0.59
+        .. deprecated:: 0.0.64
         Use `App` instead.
 
         :param config: Config for the app instance. This is the most basic configuration,

embedchain/apps/open_source_app.py

@@ -23,7 +23,7 @@ class OpenSourceApp(App):
     query(query): finds answer to the given query using vector database and LLM.
     chat(query): finds answer to the given query using vector database and LLM, with conversation history.
 
-    .. deprecated:: 0.0.59
+    .. deprecated:: 0.0.64
     Use `App` instead.
     """
 
@@ -39,7 +39,7 @@ class OpenSourceApp(App):
         Since it's opinionated you don't have to choose a LLM, database and embedder.
         However, you can configure those.
 
-        .. deprecated:: 0.0.59
+        .. deprecated:: 0.0.64
         Use `App` instead.
 
         :param config: Config for the app instance. This is the most basic configuration,

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "embedchain"
-version = "0.0.63"
+version = "0.0.64"
 description = "embedchain is a framework to easily create LLM powered bots over any dataset"
 authors = ["Taranjeet Singh"]
 license = "Apache License"