diff --git a/docs/architecture.md b/docs/architecture.md
index 49b9d99..70db6ff 100644
--- a/docs/architecture.md
+++ b/docs/architecture.md
@@ -47,7 +47,7 @@ Content In → Ingestion Pipeline → SurrealDB
 
 Query → Retrieval Pipeline → Results
               ↓
-       Vector Search + FTS + Graph
+       Vector Search + FTS
               ↓
        RRF Fusion → (Optional Rerank) → Response
 ```
@@ -70,5 +70,5 @@ Embeddings are stored in dedicated tables with HNSW indexes for fast vector sear
 1. **Collect candidates** — Vector similarity + full-text search
 2. **Merge ranks** — Reciprocal Rank Fusion (RRF)
 3. **Attach context** — Link chunks to parent entities
-4. **Rerank** (optional) — Cross-encoder rescoring
+4. **Rerank** (optional) — Cross-encoder reranking
 5. **Return** — Top-k results with metadata
diff --git a/docs/configuration.md b/docs/configuration.md
index 1035279..82db87d 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -13,6 +13,7 @@ Minne can be configured via environment variables or a `config.yaml` file. Envir
 | `SURREALDB_DATABASE` | Database name | `minne_db` |
 | `SURREALDB_NAMESPACE` | Namespace | `minne_ns` |
 
+
 ## Optional Settings
 
 | Variable | Description | Default |
@@ -21,14 +22,20 @@ Minne can be configured via environment variables or a `config.yaml` file. Envir
 | `DATA_DIR` | Local data directory | `./data` |
 | `OPENAI_BASE_URL` | Custom AI provider URL | OpenAI default |
 | `RUST_LOG` | Logging level | `info` |
+| `STORAGE` | Storage backend (`local`, `memory`) | `local` |
+| `PDF_INGEST_MODE` | PDF ingestion strategy (`classic`, `llm-first`) | `llm-first` |
+| `RETRIEVAL_STRATEGY` | Default retrieval strategy | - |
+| `EMBEDDING_BACKEND` | Embedding provider (`openai`, `fastembed`, `hashed`) | `fastembed` |
+| `FASTEMBED_CACHE_DIR` | Model cache directory | `<data_dir>/fastembed` |
+| `FASTEMBED_SHOW_DOWNLOAD_PROGRESS` | Show progress bar for model downloads | `false` |
+| `FASTEMBED_MAX_LENGTH` | Max sequence length for FastEmbed models | - |
 
 ### Reranking (Optional)
 
 | Variable | Description | Default |
 |----------|-------------|---------|
 | `RERANKING_ENABLED` | Enable FastEmbed reranking | `false` |
-| `RERANKING_POOL_SIZE` | Concurrent reranker workers | `2` |
-| `FASTEMBED_CACHE_DIR` | Model cache directory | `<data_dir>/fastembed/reranker` |
+| `RERANKING_POOL_SIZE` | Concurrent reranker workers | - |
 
 > [!NOTE]
 > Enabling reranking downloads ~1.1 GB of model data on first startup.
@@ -45,6 +52,11 @@ openai_api_key: "sk-your-key-here"
 data_dir: "./minne_data"
 http_port: 3000
 
+# New settings
+storage: "local"
+pdf_ingest_mode: "llm-first"
+embedding_backend: "fastembed"
+
 # Optional reranking
 reranking_enabled: true
 reranking_pool_size: 2