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The following commit(s) were added to refs/heads/main by this push:
     new dff7ea3535 NIFI-12646 Set Python Processor versions to 2.0.0-SNAPSHOT
dff7ea3535 is described below

commit dff7ea3535abc9bf522b4dac202fe21b7da7813d
Author: exceptionfactory <exceptionfact...@apache.org>
AuthorDate: Mon Jan 29 08:12:42 2024 -0600

    NIFI-12646 Set Python Processor versions to 2.0.0-SNAPSHOT
---
 .../nifi-openai-module/src/main/python/PromptChatGPT.py                 | 2 +-
 .../nifi-text-embeddings-module/src/main/python/ChunkDocument.py        | 2 +-
 .../nifi-text-embeddings-module/src/main/python/ParseDocument.py        | 2 +-
 .../src/main/python/vectorstores/PutChroma.py                           | 2 +-
 .../src/main/python/vectorstores/PutPinecone.py                         | 2 +-
 .../src/main/python/vectorstores/QueryChroma.py                         | 2 +-
 .../src/main/python/vectorstores/QueryPinecone.py                       | 2 +-
 7 files changed, 7 insertions(+), 7 deletions(-)

diff --git 
a/nifi-python-extensions/nifi-openai-module/src/main/python/PromptChatGPT.py 
b/nifi-python-extensions/nifi-openai-module/src/main/python/PromptChatGPT.py
index 24bbd1f48e..5b8e3738fe 100644
--- a/nifi-python-extensions/nifi-openai-module/src/main/python/PromptChatGPT.py
+++ b/nifi-python-extensions/nifi-openai-module/src/main/python/PromptChatGPT.py
@@ -30,7 +30,7 @@ class PromptChatGPT(FlowFileTransform):
         implements = ['org.apache.nifi.python.processor.FlowFileTransform']
 
     class ProcessorDetails:
-        version = '2.0.0-M2'
+        version = '2.0.0-SNAPSHOT'
         description = "Submits a prompt to ChatGPT, writing the results either 
to a FlowFile attribute or to the contents of the FlowFile"
         tags = ["text", "chatgpt", "gpt", "machine learning", "ML", 
"artificial intelligence", "ai", "document", "langchain"]
         dependencies = ['langchain==0.0.331', 'openai==0.28.1', 'jsonpath-ng']
diff --git 
a/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/ChunkDocument.py
 
b/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/ChunkDocument.py
index a5fde8622d..9b6f38e69f 100644
--- 
a/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/ChunkDocument.py
+++ 
b/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/ChunkDocument.py
@@ -104,7 +104,7 @@ class ChunkDocument(FlowFileTransform):
     class Java:
         implements = ['org.apache.nifi.python.processor.FlowFileTransform']
     class ProcessorDetails:
-        version = '2.0.0-M2'
+        version = '2.0.0-SNAPSHOT'
         description = """Chunks incoming documents that are formatted as JSON 
Lines into chunks that are appropriately sized for creating Text Embeddings.
             The input is expected to be in "json-lines" format, with each line 
having a 'text' and a 'metadata' element.
             Each line will then be split into one or more lines in the 
output."""
diff --git 
a/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/ParseDocument.py
 
b/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/ParseDocument.py
index de646781b6..777f80e402 100644
--- 
a/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/ParseDocument.py
+++ 
b/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/ParseDocument.py
@@ -45,7 +45,7 @@ class ParseDocument(FlowFileTransform):
         implements = ["org.apache.nifi.python.processor.FlowFileTransform"]
 
     class ProcessorDetails:
-        version = "2.0.0-M2"
+        version = "2.0.0-SNAPSHOT"
         description = """Parses incoming unstructured text documents and 
performs optical character recognition (OCR) in order to extract text from PDF 
and image files.
             The output is formatted as "json-lines" with two keys: 'text' and 
'metadata'.
             Note that use of this Processor may require significant storage 
space and RAM utilization due to third-party dependencies necessary for 
processing PDF and image files.
diff --git 
a/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/PutChroma.py
 
b/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/PutChroma.py
index 38208b52c1..4b792284f8 100644
--- 
a/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/PutChroma.py
+++ 
b/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/PutChroma.py
@@ -26,7 +26,7 @@ class PutChroma(FlowFileTransform):
         implements = ['org.apache.nifi.python.processor.FlowFileTransform']
 
     class ProcessorDetails:
-        version = '2.0.0-M2'
+        version = '2.0.0-SNAPSHOT'
         description = """Publishes JSON data to a Chroma VectorDB. The 
Incoming data must be in single JSON per Line format, each with two keys: 
'text' and 'metadata'.
                        The text must be a string, while metadata must be a map 
with strings for values. Any additional fields will be ignored. If the 
collection name specified
                        does not exist, the Processor will automatically create 
the collection."""
diff --git 
a/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/PutPinecone.py
 
b/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/PutPinecone.py
index 576865283f..67abfa6b09 100644
--- 
a/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/PutPinecone.py
+++ 
b/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/PutPinecone.py
@@ -52,7 +52,7 @@ class PutPinecone(FlowFileTransform):
         implements = ['org.apache.nifi.python.processor.FlowFileTransform']
 
     class ProcessorDetails:
-        version = '2.0.0-M2'
+        version = '2.0.0-SNAPSHOT'
         description = """Publishes JSON data to Pinecone. The Incoming data 
must be in single JSON per Line format, each with two keys: 'text' and 
'metadata'.
                        The text must be a string, while metadata must be a map 
with strings for values. Any additional fields will be ignored."""
         tags = ["pinecone", "vector", "vectordb", "vectorstore", "embeddings", 
"ai", "artificial intelligence", "ml", "machine learning", "text", "LLM"]
diff --git 
a/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/QueryChroma.py
 
b/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/QueryChroma.py
index 49446a4185..ee0b62ebe4 100644
--- 
a/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/QueryChroma.py
+++ 
b/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/QueryChroma.py
@@ -27,7 +27,7 @@ class QueryChroma(FlowFileTransform):
         implements = ['org.apache.nifi.python.processor.FlowFileTransform']
 
     class ProcessorDetails:
-        version = '2.0.0-M2'
+        version = '2.0.0-SNAPSHOT'
         description = "Queries a Chroma Vector Database in order to gather a 
specified number of documents that are most closely related to the given query."
         tags = ["chroma", "vector", "vectordb", "embeddings", "enrich", 
"enrichment", "ai", "artificial intelligence", "ml", "machine learning", 
"text", "LLM"]
 
diff --git 
a/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/QueryPinecone.py
 
b/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/QueryPinecone.py
index 34458bef4b..b5ed592378 100644
--- 
a/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/QueryPinecone.py
+++ 
b/nifi-python-extensions/nifi-text-embeddings-module/src/main/python/vectorstores/QueryPinecone.py
@@ -27,7 +27,7 @@ class QueryPinecone(FlowFileTransform):
         implements = ['org.apache.nifi.python.processor.FlowFileTransform']
 
     class ProcessorDetails:
-        version = '2.0.0-M2'
+        version = '2.0.0-SNAPSHOT'
         description = "Queries Pinecone in order to gather a specified number 
of documents that are most closely related to the given query."
         tags = ["pinecone", "vector", "vectordb", "vectorstore", "embeddings", 
"ai", "artificial intelligence", "ml", "machine learning", "text", "LLM"]
 

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