Updated names

PyGPT_Linux_PAD_File.xml

@@ -12,22 +12,22 @@
 <Application_OS_Support>Linux 64 bit</Application_OS_Support>
 <Program_Specific_Category>Generative AI Tools</Program_Specific_Category>
 <Program_Language>English, Polish</Program_Language>
-<Program_Description_Short>Desktop AI Assistant powered by o1, GPT-4, GPT-4V, GPT-3.5, Llama3, Mistral, Gemini, Claude, DALL-E 3, Langchain LLMs, Llama-index, Whisper and more with chatbot, assistant, text completion, vision and image generation, internet access, chat with files, commands and code execution, file upload and download and more</Program_Description_Short>
-<Program_Description_Long><![CDATA[PyGPT is all-in-one Desktop AI Assistant that provides direct interaction with OpenAI language models, including GPT-4, GPT-4 Vision, and GPT-3.5, through the OpenAI API. The application also integrates with alternative LLMs, like Llama3, Mistral, Gemini, Claude, etc., by utilizing Langchain and Llama-index.
+<Program_Description_Short>Desktop AI Assistant powered by o1, GPT-4, GPT-4V, GPT-3.5, Llama3, Mistral, Gemini, Claude, DALL-E 3, LangChain LLMs, LlamaIndex, Whisper and more with chatbot, assistant, text completion, vision and image generation, internet access, chat with files, commands and code execution, file upload and download and more</Program_Description_Short>
+<Program_Description_Long><![CDATA[PyGPT is all-in-one Desktop AI Assistant that provides direct interaction with OpenAI language models, including GPT-4, GPT-4 Vision, and GPT-3.5, through the OpenAI API. The application also integrates with alternative LLMs, like Llama3, Mistral, Gemini, Claude, etc., by utilizing LangChain and LlamaIndex.
 
 Features
 - Desktop AI Assistant for Windows and Linux, written in Python.
-- 9 modes of operation: Chat, Vision, Completion, Assistant, Image generation, Langchain, Chat with files, Experts and Autonomous Agents.
-- Supports multiple models: GPT-4, GPT-3.5, and any model accessible through Langchain and Llama-index, like Llama 3, Mistral, Google Gemini, Anthropic Claude, etc.
+- 9 modes of operation: Chat, Vision, Completion, Assistant, Image generation, LangChain, Chat with files, Experts and Autonomous Agents.
+- Supports multiple models: GPT-4, GPT-3.5, and any model accessible through LangChain and LlamaIndex, like Llama 3, Mistral, Google Gemini, Anthropic Claude, etc.
 - Handles and stores the full context of conversations (short-term memory).
 - Real-time video camera capture in Vision mode.
 - Internet access via Google and Microsoft Bing.
 - Speech synthesis via Microsoft Azure, Google, Eleven Labs and OpenAI Text-To-Speech services.
 - Speech recognition via OpenAI Whisper, Google, Google Cloud and Microsoft Bing.
 - Image analysis via GPT-4 Vision.
 - Crontab / Task scheduler included.
-- Integrated Langchain support (you can connect to any LLM, e.g., on HuggingFace).
-- Integrated Llama-index support: chat with txt, pdf, csv, html, md, docx, json, epub, xlsx, xml, webpages, Google, GitHub, video/audio, images and other data types, or use conversation history as additional context provided to model.
+- Integrated LangChain support (you can connect to any LLM, e.g., on HuggingFace).
+- Integrated LlamaIndex support: chat with txt, pdf, csv, html, md, docx, json, epub, xlsx, xml, webpages, Google, GitHub, video/audio, images and other data types, or use conversation history as additional context provided to model.
 - Commands execution (via plugins: access to the local filesystem, Python code interpreter, system commands execution).
 - Custom commands creation and execution.
 - Manages files and attachments with options to upload, download, and organize.

PyGPT_Windows_PAD_File.xml

@@ -12,22 +12,22 @@
 <Application_OS_Support>Windows 10 64 bit, Windows 11 64 bit</Application_OS_Support>
 <Program_Specific_Category>Generative AI Tools</Program_Specific_Category>
 <Program_Language>English, Polish</Program_Language>
-<Program_Description_Short>Desktop AI Assistant powered by o1, GPT-4, GPT-4V, GPT-3.5, Llama3, Mistral, Gemini, Claude, DALL-E 3, Langchain LLMs, Llama-index, Whisper and more with chatbot, assistant, text completion, vision and image generation, internet access, chat with files, commands and code execution, file upload and download and more</Program_Description_Short>
-<Program_Description_Long><![CDATA[PyGPT is all-in-one Desktop AI Assistant that provides direct interaction with OpenAI language models, including GPT-4, GPT-4 Vision, and GPT-3.5, through the OpenAI API. The application also integrates with alternative LLMs, like Llama3, Mistral, Gemini, Claude, etc., by utilizing Langchain and Llama-index.
+<Program_Description_Short>Desktop AI Assistant powered by o1, GPT-4, GPT-4V, GPT-3.5, Llama3, Mistral, Gemini, Claude, DALL-E 3, LangChain LLMs, LlamaIndex, Whisper and more with chatbot, assistant, text completion, vision and image generation, internet access, chat with files, commands and code execution, file upload and download and more</Program_Description_Short>
+<Program_Description_Long><![CDATA[PyGPT is all-in-one Desktop AI Assistant that provides direct interaction with OpenAI language models, including GPT-4, GPT-4 Vision, and GPT-3.5, through the OpenAI API. The application also integrates with alternative LLMs, like Llama3, Mistral, Gemini, Claude, etc., by utilizing LangChain and LlamaIndex.
 
 Features
 - Desktop AI Assistant for Windows and Linux, written in Python.
-- 9 modes of operation: Chat, Vision, Completion, Assistant, Image generation, Langchain, Chat with files, Experts and Autonomous Agents.
-- Supports multiple models: GPT-4, GPT-3.5, and any model accessible through Langchain and Llama-index, like Llama 3, Mistral, Google Gemini, Anthropic Claude, etc.
+- 9 modes of operation: Chat, Vision, Completion, Assistant, Image generation, LangChain, Chat with files, Experts and Autonomous Agents.
+- Supports multiple models: GPT-4, GPT-3.5, and any model accessible through LangChain and LlamaIndex, like Llama 3, Mistral, Google Gemini, Anthropic Claude, etc.
 - Handles and stores the full context of conversations (short-term memory).
 - Real-time video camera capture in Vision mode.
 - Internet access via Google and Microsoft Bing.
 - Speech synthesis via Microsoft Azure, Google, Eleven Labs and OpenAI Text-To-Speech services.
 - Speech recognition via OpenAI Whisper, Google, Google Cloud and Microsoft Bing.
 - Image analysis via GPT-4 Vision.
 - Crontab / Task scheduler included.
-- Integrated Langchain support (you can connect to any LLM, e.g., on HuggingFace).
-- Integrated Llama-index support: chat with txt, pdf, csv, html, md, docx, json, epub, xlsx, xml, webpages, Google, GitHub, video/audio, images and other data types, or use conversation history as additional context provided to model.
+- Integrated LangChain support (you can connect to any LLM, e.g., on HuggingFace).
+- Integrated LlamaIndex support: chat with txt, pdf, csv, html, md, docx, json, epub, xlsx, xml, webpages, Google, GitHub, video/audio, images and other data types, or use conversation history as additional context provided to model.
 - Commands execution (via plugins: access to the local filesystem, Python code interpreter, system commands execution).
 - Custom commands creation and execution.
 - Manages files and attachments with options to upload, download, and organize.

examples/README.md

@@ -10,13 +10,13 @@ There are example files here that can serve as tutorial and starting points for
 
 - `example_audio_output.py`  - example audio output provider (speech synthesis)
 
-- `example_data_loader.py`  - example data loader for Llama-index
+- `example_data_loader.py`  - example data loader for LlamaIndex
 
-- `example_llm.py`  - example LLM wrapper for Langchain and Llama-index
+- `example_llm.py`  - example LLM wrapper for LangChain and LlamaIndex
 
 - `example_plugin.py`  - example plugin
 
-- `example_vector_store.py`  - example vector store provider for Llama-index
+- `example_vector_store.py`  - example vector store provider for LlamaIndex
 
 - `example_web_search.py`  - example web search engine
 

examples/example_llm.py

@@ -101,7 +101,7 @@ def chat(self, window, model: ModelItem, stream: bool = False):
 
     def llama(self, window, model: ModelItem, stream: bool = False) -> LlamaBaseLLM:
         """
-        Return Llama-index LLM provider instance for 'Chat with files' (llama_index) mode.
+        Return LlamaIndex LLM provider instance for 'Chat with Files' (llama_index) mode.
 
         This method is used for Llama-Index mode when getting provider to handle chat with files.
         It must return an instance of the Llama-Index LLM which will be used in service context.

src/pygpt_net/core/bridge/worker.py

@@ -60,14 +60,14 @@ def run(self):
                     extra=self.extra,
                 )
 
-            # Llama-index: chat with files
+            # LlamaIndex: chat with files
             elif self.mode == MODE_LLAMA_INDEX:
                 result = self.window.core.idx.chat.call(
                     context=self.context,
                     extra=self.extra,
                 )
 
-            # Llama-index: agents
+            # LlamaIndex: agents
             elif self.mode == MODE_AGENT_LLAMA:
                 result = self.window.core.agents.runner.call(
                     context=self.context,