Implement Chat with RAG

[dubh3124]

Pull Request: Knowledge Base RAG Implementation

Overview

This PR introduces the initial implementation of Knowledge Base Retrieval-Augmented Generation (RAG) functionality to the OpenWebUI SDK.

Changes Summary

• Initial release of Knowledge Base RAG implementation
• Added core RAG functionality for enhanced knowledge retrieval
• Established foundational components for document processing and retrieval

[Copilot]

Pull Request Overview

This PR introduces the initial implementation of Knowledge Base Retrieval-Augmented Generation (RAG) functionality to the OpenWebUI SDK, enabling enhanced knowledge retrieval capabilities for chat operations.

• Added comprehensive RAG query functionality to the KnowledgeBaseAPI with support for various retrieval parameters
• Enhanced ChatsAPI to support RAG-augmented chat creation and continuation workflows
• Extended CLI commands to accept RAG parameters for chat operations

Reviewed Changes

Copilot reviewed 7 out of 7 changed files in this pull request and generated 3 comments.

Show a summary per file

File	Description
openwebui/api/knowledge.py	Implements core RAG query method with document retrieval and metadata handling
openwebui/api/chats.py	Integrates RAG functionality into chat creation and continuation workflows
openwebui/cli/main.py	Adds RAG command-line options for chat create and continue commands
tests/sdk/test_sdk_knowledge.py	Comprehensive test coverage for RAG query functionality
tests/sdk/test_sdk_chats.py	Test coverage for RAG-enhanced chat operations
tests/cli/test_cli_chat.py	Test coverage for CLI RAG parameter handling
CHANGELOG.md	Updates version history

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[Copilot]

Logging the full raw response data could expose sensitive information. Consider logging only the type and size of the response, or sanitize the content before logging.

Suggested change

	if not isinstance(retrieved_response_dict, dict):
	log.error(
	f"Expected dict from retrieval API, but received: {type(retrieved_response_dict)}. Raw: {retrieved_response_dict}")
	f"Expected dict from retrieval API, but received: {type(retrieved_response_dict)}. Keys: {list(retrieved_response_dict.keys()) if isinstance(retrieved_response_dict, dict) else 'N/A'}")