Being able to filter down the data deterministically is a big value add, especially as the number of documents scale into the range of multiple millions. We have filters by document-set, tags, time range, source type (ie. only include Slack + Google Drive, or Confluence + Jira + Gong, etc.)
The challenge is with the non-deterministic portions of the flow as you pointed out. Ensuring retrieval quality in out-of-domain datasets, guardrailing the LLM generation, working with conflicting or deprecated information are some of the interesting areas we're addressing. Happy to dive deeper on any aspect you're curious about, and I'm sure we can learn from the discussion as well.
The challenge is with the non-deterministic portions of the flow as you pointed out. Ensuring retrieval quality in out-of-domain datasets, guardrailing the LLM generation, working with conflicting or deprecated information are some of the interesting areas we're addressing. Happy to dive deeper on any aspect you're curious about, and I'm sure we can learn from the discussion as well.