Knowledge base allows to ground AI worker in the context of the company and the job by providing it with data sources that are continuously monitored for updates and scanned by the internal RAG system.
Knowledge base data sources are automatically scanned by the internal RAG system to provide up to date context to the AI worker. Only general read-only access to the data sources is needed as AI workers never write to these sources. Knowledge base can include, but is not limited to, company policies, employee handbooks, product documentation, address and contact books, etc. Knowledge base can be configured once the hire is fully deployed.
For data sources that support individual files (Box, Dropbox, Google Drive, AWS S3, etc.), the following file types are supported.
Text & Document Formats:- PDF (
.pdf) - Microsoft Word (
.doc, .docx) - Plain text (
.txt) - Markdown (
.md) - HTML / Web pages (
.html, .htm) - Rich Text Format (
.rtf) - EPUB (
.epub)
Structured & Semi-Structured Data:- JSON (
.json) - CSV (
.csv) - TSV (
.tsv) - XML (
.xml) - YAML (
.yaml, .yml)
Code & Technical Files:- Source code files (language-agnostic, e.g.
.py, .js, .ts, .java, .go) - Configuration files (
.ini, .toml, .env) - Logs (
.log)
Images:- PNG (
.png) - JPEG / JPG (
.jpg, .jpeg) - TIFF (
.tiff) - BMP (
.bmp) - WEBP (
.webp)
Audio & Video:- Audio (
.mp3, .wav, .m4a, .aac) - Video (
.mp4, .mov, .avi, .mkv)