Changelog All notable changes to Libby D. Bot will be documented in this file. The format is based on Keep a Changelog, and this project adheres to Semantic Versioning. 0.9.0 - 2026-03-06 Added Integrated Ollama server directly in Docker container Pre-installed mxbai-embed-large embedding model in Docker image Added docker/start.sh startup script for automatic Ollama initialization Added ollama-models volume for persisting downloaded models Added zstd package for Ollama installation support Changed Updated Dockerfile to include Ollama server installation Updated docker-compose.yml to use internal Ollama instead of host connection Increased health check start period to 60s for Ollama initialization Updated documentation with new Docker deployment instructions Improved Docker build process with model pre-loading Fixed Fixed Docker connectivity issues by embedding Ollama server in container Fixed port conflicts by not exposing Ollama port externally (11434) 0.8.0 - 2026-03-03 Added REST API server with FastAPI for programmatic access Docker support with Dockerfile and docker-compose configuration Re-embedding functionality to update embeddings with new models libby-server CLI command to start the API server API endpoints for text embedding, file upload, document retrieval, and health checks .env.example file for environment configuration Changed Bumped version from 0.7.0 to 0.8.0 Made server more robust with better error handling Updated documentation with API usage examples Improved configuration management Fixed Fixed various bugs in the API server Fixed server stability issues 0.7.0 - 2026-02-13 Added RAG (Retrieval Augmented Generation) capabilities Document embedder class for managing embeddings Library search tool for agents Support for DuckDB with HNSW indexes New database files for embedding and memory storage PostgreSQL backend tests Changed Refined embedding logic and improved tests Updated dependencies Locked project dependencies using uv Fixed Corrected DuckDB table creation (replaced SERIAL with nextval) Fixed DuckDB connection initialization Fixed connection handling to properly use self.engine Corrected AUTOINCREMENT syntax for DuckDB Improved DuckDB interaction using direct SQL queries Removed Removed EmbeddingDuckdb class, simplified table creation 0.6.0 - 2025-12-08 Added Full DuckDB support with HNSW vector indexes Hybrid search combining vector and full-text search (FTS) FTS index creation for DuckDB Changed Migrated from SQLAlchemy to direct SQL for DuckDB Improved database connection management Updated code structure and fixed multiple bugs Fixed Fixed many bugs related to database connections Corrected table creation and query execution Fixed SQLite fallback in DocEmbedder 0.5.0 - 2025-08-17 Added SQLite support with sqlite-vec extension for embeddings Method to retrieve embedded documents (get_embedded_documents) Connection property to manage database connections Multi-thread mode for SQLite Changed Migrated embedding storage from SQLAlchemy to direct SQLite Improved database configuration and embedding handling Changed default embedding model to Gemini Refined tests and improved test coverage Fixed Fixed SQLite3 database closing issues Corrected table creation and queries for SQLite with vec0 Fixed fallback behavior for SQLite in DocEmbedder 0.4.0 - 2025-08-08 Added Gemini embedding model support Google as default AI provider Support for multiple embedding models (Gemini, Ollama) Changed Updated settings configuration to be more robust Improved provider handling and configuration Bumped version from 0.3.x to 0.4.0 Fixed Fixed bugs in embedding generation Corrected settings loading 0.3.11 - 2025-06-25 Fixed Adapted ask function to remove content from reasoning models' responses 0.3.10 - 2025-05-10 Changed Updated dependencies Updated documentation 0.3.9 - 2025-03-02 Added API reference documentation Comprehensive tutorial documentation Changed Migrated configuration from YAML to Pydantic settings Updated documentation structure Removed PyYAML dependency Removed Removed YAML configuration files 0.3.8 - 2025-01-04 Added Method to embed a path (directory of documents) Initial support for SQLite and DuckDB as backends for DocEmbedder Flexible database URL support Changed Updated package dependencies Improved database URL handling 0.3.7 - 2024-11-20 Added Qwen model support Support for reading prompts from input text files Context support for the generate command Option to specify LLM model on CLI Model selection from config with validation Changed Increased number of retrieved documents from 15 to 100 Updated README with comprehensive usage instructions Bumped version to 0.3.x series Fixed Fixed bug in calling generate with a prompt file 0.3.0 - 2024-07-31 Added Ingest module with PDF processing capabilities Tests for CLI functionality Support for collections of embeddings Filter by collection when retrieving documents Changed Improved documentation Refactored CLI for better testability Bumped version from 0.2.x to 0.3.0 0.2.0 - 2024-07-05 Added Memory functionality for Libby Chat history storage and retrieval Support for multiple chat sessions Changed Improved memory implementation Enhanced conversation context handling 0.1.0 - 2024-04-09 Added Initial release of Libby D. Bot Basic CLI interface with Fire Support for multiple AI models (Llama3, Gemma, ChatGPT) PDF document processing and embedding Question answering with context Content generation capabilities Poetry configuration and dependencies Basic project structure Features Multiple language support (English and Portuguese) Various AI models available PDF document processing Question answering with document context Content generation