fire_rag 1.0.0

Firebase RAG for AI Agents

1.0.0

• Added FireRag.init() bootstrap wiring for a shared embedding model, chat model, and TaskManager.
• Added Cloud Task executors for chunking, recursive distillation, and embedding work.
• Added TaskChunk to download source files, create persisted base chunks, and fan out embedding batches.
• Added TaskDistill to build higher-LOD distilled chunks, maintain parent/child linkage fields, and continue recursive summarization until a single output remains.
• Added TaskEmbed to read stored chunk text and write vector embeddings back to Firestore documents.
• Added CloudRecursiveChunkingTaskManager as the package entry point for recursive ingestion workflows.