Indexing Your Office Documents
summary
Demonstrates how Apache Tika powers the ingest-attachment plugin to extract text and metadata from base64 blobs sent to Elasticsearch, shows the cost of uploading large binaries, and recommends extracting locally with FS Crawler instead. Proves OCR works by running Tesseract on images inside PDFs, indexes ~26 demo files to Elasticsearch and into Workplace Search via its custom API, and shows a cloud deployment, ingest pipelines, automatic schema generation, and a bulk/REST workflow that actually runs and returns extracted text.
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chapters (9)
- 0:00Indexing office documents
- 10:14Elasticsearch and Kibana setup
- 13:47Text extraction with Apache Tika
- 19:53Ingest attachment plugin limits
- 20:13FS Corolla for file indexing
- 24:53FS Corolla document extraction demo
- 30:15FS Corolla with Workplace Search
- 37:07FS Corolla roadmap
- 44:19Q&A
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