fire_rag 1.2.0

Firebase RAG for AI Agents

1.1.2

• ID Fixes

1.1.1

• Generated models

1.1.0

• Updated chunk persistence to use the serialized agentic.Chunk document shape instead of hand-built field maps.
• Stored record, up, down, and vector on the top-level chunk document, while keeping app-specific values inside metadata.
• Updated TaskEmbed to rebuild text from Chunk.fullContent before embedding.
• Updated TaskDistill to read and write Firestore records through the Chunk model path and preserve chunk metadata during recursive distillation.
• Updated package documentation to describe the current Firestore schema and how it fits with rag.

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.