# Documents Track and manage document sources in your memory bank. Documents provide traceability — knowing where memories came from. {/* Import raw source files */} > **💡 Prerequisites** > Make sure you've completed the [Quick Start](./quickstart) and understand [how retain works](./retain). ## What Are Documents? Documents are containers for retained content. They help you: - **Track sources** — Know which PDF, conversation, or file a memory came from - **Update content** — Re-retain a document to update its facts - **Delete in bulk** — Remove all memories from a document at once - **Organize memories** — Group related facts by source ## Chunks When you retain content, Hindsight splits it into chunks before extracting facts. These chunks are stored alongside the extracted memories, preserving the original text segments. **Why chunks matter:** - **Context preservation** — Chunks contain the raw text that generated facts, useful when you need the exact wording - **Richer recall** — Including chunks in recall provides surrounding context for matched facts > **💡 Include Chunks in Recall** > Use `include_chunks=True` in your recall calls to get the original text chunks alongside fact results. See [Recall](./recall) for details. ## Retain with Document ID Associate retained content with a document: ### Python ```python # Retain with document ID client.retain( bank_id="my-bank", content="Alice presented the Q4 roadmap...", document_id="meeting-2024-03-15" ) # Batch retain for a document client.retain_batch( bank_id="my-bank", items=[ {"content": "Item 1: Product launch delayed to Q2"}, {"content": "Item 2: New hiring targets announced"}, {"content": "Item 3: Budget approved for ML team"} ], document_id="meeting-2024-03-15" ) ``` ### Node.js ```javascript // Retain with document ID await client.retain('my-bank', 'Alice presented the Q4 roadmap...', { document_id: 'meeting-2024-03-15' }); // Batch retain await client.retainBatch('my-bank', [ { content: 'Item 1: Product launch delayed to Q2' }, { content: 'Item 2: New hiring targets announced' }, { content: 'Item 3: Budget approved for ML team' } ], { documentId: 'meeting-2024-03-15' }); ``` ### CLI ```bash # Retain content with document ID hindsight memory retain my-bank "Meeting notes content..." --doc-id notes-2024-03-15 # Batch retain from files hindsight memory retain-files my-bank docs/ ``` ## Update Documents Re-retaining with the same document_id **replaces** the old content: ### Python ```python # Original client.retain( bank_id="my-bank", content="Project deadline: March 31", document_id="project-plan" ) # Update (deletes old facts, creates new ones) client.retain( bank_id="my-bank", content="Project deadline: April 15 (extended)", document_id="project-plan" ) ``` ### Node.js ```javascript // Original await client.retain('my-bank', 'Project deadline: March 31', { document_id: 'project-plan' }); // Update await client.retain('my-bank', 'Project deadline: April 15 (extended)', { document_id: 'project-plan' }); ``` ### CLI ```bash # Original hindsight memory retain my-bank "Project deadline: March 31" --doc-id project-plan # Update hindsight memory retain my-bank "Project deadline: April 15 (extended)" --doc-id project-plan ``` ## Get Document Retrieve a document's original text and metadata. This is useful for expanding document context after a recall operation returns memories with document references. ### Python ```python import asyncio from hindsight_client_api import ApiClient, Configuration from hindsight_client_api.api import DocumentsApi async def get_document_example(): config = Configuration(host="http://localhost:8888") api_client = ApiClient(config) api = DocumentsApi(api_client) # Get document to expand context from recall results doc = await api.get_document( bank_id="my-bank", document_id="meeting-2024-03-15" ) print(f"Document: {doc.id}") print(f"Original text: {doc.original_text}") print(f"Memory count: {doc.memory_unit_count}") print(f"Created: {doc.created_at}") asyncio.run(get_document_example()) ``` ### Node.js ```javascript const apiClient = createClient(createConfig({ baseUrl: 'http://localhost:8888' })); // Get document to expand context from recall results const { data: doc } = await sdk.getDocument({ client: apiClient, path: { bank_id: 'my-bank', document_id: 'meeting-2024-03-15' } }); console.log(`Document: ${doc.id}`); console.log(`Original text: ${doc.original_text}`); console.log(`Memory count: ${doc.memory_unit_count}`); console.log(`Created: ${doc.created_at}`); ``` ### CLI ```bash hindsight document get my-bank meeting-2024-03-15 ``` ## Delete Document Remove a document and all its associated memories: ### Python ```python from hindsight_client_api import ApiClient, Configuration from hindsight_client_api.api import DocumentsApi async def delete_document_example(): config = Configuration(host="http://localhost:8888") api_client = ApiClient(config) api = DocumentsApi(api_client) # Delete document and all its memories result = await api.delete_document( bank_id="my-bank", document_id="meeting-2024-03-15" ) print(f"Deleted {result.memory_units_deleted} memories") asyncio.run(delete_document_example()) ``` ### Node.js ```javascript // Delete document and all its memories const { data: deleteResult } = await sdk.deleteDocument({ client: apiClient, path: { bank_id: 'my-bank', document_id: 'meeting-2024-03-15' } }); console.log(`Deleted ${deleteResult.memory_units_deleted} memories`); ``` ### CLI ```bash hindsight document delete my-bank meeting-2024-03-15 ``` :::warning Deleting a document permanently removes all memories extracted from it. This action cannot be undone. ## Document Response Format ```json { "id": "meeting-2024-03-15", "bank_id": "my-bank", "original_text": "Alice presented the Q4 roadmap...", "content_hash": "abc123def456", "memory_unit_count": 12, "created_at": "2024-03-15T14:00:00Z", "updated_at": "2024-03-15T14:00:00Z" } ``` ## Next Steps - [**Operations**](./operations) — Monitor background tasks - [**Memory Banks**](./memory-banks) — Configure bank settings