Intake & Storage¶
The intake and storage layer is responsible for the extraction, transformation, and persistence of unstructured and semi-structured data. This layer ensures that documents (PDFs, images, logs, web content) are converted into formats that LLMs and agentic workflows can effectively consume.
Core Capabilities¶
| Capability | Description | Core Tools |
|---|---|---|
| Parsing & Extraction | Converting complex PDFs, HTML, and office docs into clean Markdown/JSON. | Unstructured.io, LlamaParse, Docling |
| Object Storage | Durable persistence for raw files and processed artifacts. | S3 / S3-Compatible, MinIO |
| Hybrid Systems | Integrated environments for personal knowledge management and search. | AnyType, Khoj, SilverBullet |
| Database Sync | Synchronizing specialized data types like calendars or journals. | Caldav |
| Analytics Warehouses | Columnar and cloud warehouses for logs, traces, and analytical workloads. | ClickHouse, Snowflake |
Tool Selection Guidance¶
- High-Volume ETL: Use Unstructured.io for its broad format support and local-first partitioning strategies.
- Complex Documents: Use LlamaParse when dealing with nested tables and multi-column layouts that require vision-aware parsing.
- Privacy-First Search: Use Khoj or Verba for local-first RAG over personal document collections.
- Standardized Object Store: Use MinIO or AWS S3 as the backbone for cross-service document access.