Unmatched Knowledge Base Bots
Experience the power of GNN technology infused with revolutionary P-FAF for superior performance.
What Are Knowledge Base Bots?
Knowledge Base Bots are internal facing as opposed to external facing LLM models, that are either fine tuned or RAG tuned, generally on systems and processes related data. Our Knowledge Base Bots are also built utilizing a Graph Neural Network architecture. On Prem or in the Cloud, Large Model or Smol Model, Your Data or Synthetic Data. The power of your Knowledge Base Bot is that it is always Your Knowledge Base Bot. What truly sets our bots apart though is the unique combination of GNN+PFAF Technology. If it isn't infused with P-FAF, it isn't taking full advantage of the GNN.




Without-PFAF
With P-FAF
Advanced Knowledge Bots
Our GNN knowledge bots utilize P-FAF technology for unmatched performance and reliability in data processing.
P-FAF Technology
Experience the power of probabilistic fractal activation functions for superior GNN model interactions and outcomes.
100% Guarantee
We stand by our product with a full money-back guarantee if you're not completely satisfied.
The P-FAF Equation


These knowledge bots have transformed our operations; the p-faf technology truly delivers exceptional performance and reliability.
Tech Innovator
I was amazed by the accuracy of these bots; the money-back guarantee shows their confidence in quality.
Data Scientist
★★★★★
★★★★★
Example Interpretation
Imagine a word like "bank," which has multiple meanings (e.g., a financial institution or the side of a river). A traditional embedding might average these meanings into a single vector, losing nuance. In contrast, P-FAF can apply different fractal functions to emphasize either the financial or geographical sense, depending on the context, and then probabilistically combine these to form a context-aware embedding.


See It In Action
View a demo of a Knowledge Base Bot trained on Litify.
Contact Our Knowledge Base Bots Team
Reach out for inquiries about our powerful GNN technology.