From a9ca5ad781ee6d168ac086ef77985344140228f2 Mon Sep 17 00:00:00 2001 From: Ed_ Date: Mon, 4 May 2026 08:23:50 -0400 Subject: [PATCH] conductor(plan): Mark Phase 2 complete and Phase 3 In Progress --- conductor/tracks/rag_support_20260308/plan.md | 26 +++++++++---------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/conductor/tracks/rag_support_20260308/plan.md b/conductor/tracks/rag_support_20260308/plan.md index b33fc97..da0716e 100644 --- a/conductor/tracks/rag_support_20260308/plan.md +++ b/conductor/tracks/rag_support_20260308/plan.md @@ -13,19 +13,19 @@ - [x] Task: Write unit tests for vector store operations and embedding generation. e80cd6b - [x] Task: Conductor - User Manual Verification 'Phase 1: Foundation & Vector Store' (Protocol in workflow.md) dd042d9 -## Phase 2: Indexing & Retrieval Logic -- [~] Task: Implement the indexing pipeline. - - [~] Implement file chunking strategies (e.g., character-based, AST-aware) in `src/rag_engine.py`. - - [~] Create a background indexing task in `AppController`. - - [~] Implement auto-indexing logic triggered by Context Hub changes. -- [~] Task: Implement the retrieval pipeline. - - [~] Implement similarity search with configurable top-k and threshold. - - [~] Implement "Native Retrieval" logic for Gemini (leveraging `ai_client.py`). -- [~] Task: Update `ai_client.py` to support RAG. - - [~] Add a `retrieve_context()` step to the `send()` loop. - - [~] Format and inject retrieved fragments into the model's system prompt or context block. -- [ ] Task: Write integration tests for the indexing and retrieval flow. -- [ ] Task: Conductor - User Manual Verification 'Phase 2: Indexing & Retrieval Logic' (Protocol in workflow.md) +## Phase 2: Indexing & Retrieval Logic [checkpoint: fe0069c] +- [x] Task: Implement the indexing pipeline. fe0069c + - [x] Implement file chunking strategies (e.g., character-based, AST-aware) in `src/rag_engine.py`. fe0069c + - [x] Create a background indexing task in `AppController`. fe0069c + - [x] Implement auto-indexing logic triggered by Context Hub changes. fe0069c +- [x] Task: Implement the retrieval pipeline. fe0069c + - [x] Implement similarity search with configurable top-k and threshold. fe0069c + - [x] Implement "Native Retrieval" logic for Gemini (leveraging `ai_client.py`). fe0069c +- [x] Task: Update `ai_client.py` to support RAG. fe0069c + - [x] Add a `retrieve_context()` step to the `send()` loop. fe0069c + - [x] Format and inject retrieved fragments into the model's system prompt or context block. fe0069c +- [x] Task: Write integration tests for the indexing and retrieval flow. fe0069c +- [x] Task: Conductor - User Manual Verification 'Phase 2: Indexing & Retrieval Logic' (Protocol in workflow.md) fe0069c ## Phase 3: GUI Integration & Visualization - [ ] Task: Implement the RAG Settings panel in `src/gui_2.py`.