You don't need a vector store
In Edgar.tools we built Disclosure Search for SEC filings without a vector store. No embeddings, no RAG pipeline, no inference cost per query. Then a user proved why it worked.
Dwight Gunning
What Seattle's Super Bowl Win Reveals About Coding With AI
The best developers aren't writing every line anymore — they're composing systems from concepts. A Super Bowl-winning defensive system reveals the blueprint for building software with AI
Parsing SEC 13F Holdings 8x Faster
Get SEC 13F-HR hedge fund holdings data in Python with edgartools. See how holdings change over time with quarter-over-quarter comparison — now parsing 8x faster
Get BDC data with EdgarTools
BDC are publicly traded investment funds that lend money to private companies. Now you can access their data with edgartools
Beware AI bots bearing good code
How a bot submitted a PR to edgartools that fixed a tricky XBRL bug, what I did about it and how you can handle AI bots in the future
Pandas 3.0 and edgartools
How a dependency issue with pandas was fixed in edgartools
Financial statement dimensions
XBRL dimensions are powerful but messy—they can clutter your statements with segment breakdowns you didn't ask for. Recent edgartools releases introduce smarter defaults and a new view parameter that lets you choose between summary, standard, and detailed output
beads and the future of programming
How AI is itself shaping the future of software programming, the tools AI is creating for itself, and how human programmers are reacting
A cleaner view for the New Year
Ringing in the New Year with improvements with how we display dimensions in XBRL financials, more details about companies and a polished Company display
Making finance beautiful
Finance does not have to be boring. Here's how edgartools uses the rich library for beautiful output in the terminal