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@ds-ragbits-robot ds-ragbits-robot released this 04 Jun 12:44
v1.0.0
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1.0.0 (2025-06-04)

🎉 Major Release

This is the first stable release of ragbits, marking a significant milestone in the project's development.
The v1.0.0 release represents a mature, production-ready framework for building GenAI applications.

🚀 New Features

ragbits-core

  • Vector Store Improvements:
    • Automatic vector_size resolution by PgVectorStore
    • Added get_vector_size method to all Embedders
    • Added support for limiting VectorStore results by metadata
  • Embeddings: Refactored BagOfTokens model with model_name/encoding_name parameters moved to init
  • Type Safety: Renamed typevars InputT and OutputT to PromptInputT and PromptOutputT for better clarity
  • Monitoring: Added Prometheus & Grafana monitoring for LLMs using OpenTelemetry
  • File Type Detection: Switched from imghdr to filetype for image file type detection
  • Utilities: Added batched() helper method to utils

ragbits-document-search

  • Advanced Document Processing: Switch to docling as default document parser for improved document handling
  • Batching Support: Added elements batching for ingest strategies to improve performance
  • Document Types: Added support for JSONL file type and improved document file type detection
  • Reranking Enhancements:
    • Added LLM reranker with optional score override
    • Added score threshold to reranker options
    • Retained score information from vector database or reranker in Element class
  • Query Processing: Added query rephraser options for better search results
  • Error Handling: Improved error handling for elements without enricher

ragbits-chat

  • Persistence Support: Added persistence component to save chat interactions from ragbits-chat with conversation_id parameter support
  • State Management: Added support for state updates in chat interfaces with automatic signature generation
  • UI Improvements: Refactored UI components to allow modifications and rebuilt UI with new dependencies
  • API Integration: Enhanced API integration with history context changes and feedback form integration

ragbits-evaluate

  • Question Answering: Added evaluations for question answering tasks
  • Dataset Enhancements:
    • Added support for slicing datasets
    • Support for custom column names in evaluation datasets
    • Support for reference document ids and page numbers
  • Batch Processing: Adjusted evaluation pipeline interface to support batch processing
  • Data Loading: Separated load and map operations in data loaders
Assets 2
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