Changelog

[v1.0.0] – 2025-07-11

Modular RAG chatbot with both CLI and Streamlit web interface.
Document ingestion: Supports PDF, DOCX, and TXT files.
Data processing pipeline: Extracts, chunks, and indexes documents.
Embedding generation: Supports OpenAI and Groq as embedding providers.
LLM integration: Switchable between OpenAI and Groq for answer generation.
Retrieval system: Uses ChromaDB for efficient vector search.
Conversational history: Context-aware answers using previous questions.
Pre-commit hooks and code style: Enforces code quality via Ruff and pre-commit.
Automated testing: Includes unit tests with pytest.
Configurable via .env and settings file.
MIT licensed and ready for community contributions.

This is the initial public release. Feedback and contributions welcome!