- What would you say is the agentic approach's special sauce over a typical RAG pipeline, ie query->multi-query generation->HyDE->vector search->bm25 search->RRF->rerank->evaluate->(retry|refuse|respond) that differentiates the approach?
- If a user has 20 services connected, how does the agent know how to call/search/traverse the information in the right order?
- Do you have any internal evals on how well the different model affect the overall quality of output, esp for a "deep search" type of task? I have model-picker fatigue.
- Do you plan to implement knowledge graphs in the future?
- What would you say is the agentic approach's special sauce over a typical RAG pipeline, ie query->multi-query generation->HyDE->vector search->bm25 search->RRF->rerank->evaluate->(retry|refuse|respond) that differentiates the approach?
- If a user has 20 services connected, how does the agent know how to call/search/traverse the information in the right order?
- Do you have any internal evals on how well the different model affect the overall quality of output, esp for a "deep search" type of task? I have model-picker fatigue.
- Do you plan to implement knowledge graphs in the future?