Release/0.3.0 - #9
Closed
Flatts3000 wants to merge 8 commits into
Closed
Conversation
…tions Integrated Qdrant service for semantic search functionality. Enhanced WordPress and MySQL configurations with additional environment variables and memory limits. Updated health checks and replaced outdated defaults for improved reliability.
…ic similarity search Introduced a new plugin, `PostSecret Search`, for semantic similarity searches leveraging the Qdrant vector database. Added primary functionality for processing embeddings and similarity matching, along with a MySQL fallback for robust operation. Enhanced the `EmbeddingService` with Qdrant support, payload extensibility, and improved logging. Integrated REST endpoints and admin capabilities for future enhancements.
…ling, and type safety Improved QdrantSearchService by introducing stricter typing, a refined filter schema for Qdrant queries, and defensive error handling. Added MySQL fallback enhancements, over-fetching logic, and extensibility hooks for query customization. Updated methods for better modularity, readability, and adherence to coding standards.
…ation Integrated a new semantic search interface in the theme using dynamic query embedding, responsive design, and infinite scrolling for results. Added REST API endpoints via the `PostSecret Search` plugin to handle embedding-based searches. Enhanced EmbeddingService with query embedding and immediate indexing support. Updated Docker configurations and templates for streamlined deployment and setup.
…ed defaults, and modular logic Reduced redundancy and enhanced readability by simplifying method definitions and consolidating constants. Improved default handling for timeouts, settings, and Qdrant configurations while introducing modular options for extensibility. Enhanced error logging and streamlined the fallback logic for MySQL and API requests.
Feature/search
Introduced a method for generating and normalizing query embeddings without database writes. Included fallback logic for API key handling, customizable embedding models, and improved error logging for robust operation.
feat: add generate_query_embedding method to EmbeddingService
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
No description provided.