- Pitch Mode: collects data
- Mentor Mode: helps founders with questions
- Guidance Mode: guides founders through a workshop
- Mean Mode: gives mean feedback
version 1 of auto-generate graph of actions taken by the agent
system_chat_handler_advanced is our chat interface endpoint, which used load_skill_description to find and pick the find_similar_files skill to find a relevant skills, which used the generate_embeddings skill to embed the input. then used generate_text_completion to generate the response
filtered out the common functions used by the front-end so it shows me the logs that are most relevant to check
Been talking lots about knowledge graphs and LLMs, specifically for autonomous agents, recently.
Organized some thought here if you want to dig in 👇
KG 🤝 LLM
🧵 (a thread)
For those not familiar, knowledge graphs are a type of data representation in the form of nodes (objects) and edges (relationships) and looks like this.
This structure allows for unique querying of relationship related data such as finding shortest path between two nodes, or further more complex reasoning.