we have a tight IT budget and need to know if custom internal chatbots built on open source models are reliable enough for HR
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
we have a tight IT budget and need to know if custom internal chatbots built on open source models are reliable enough for HR
3 real searches · 1 real-search pass
open source LLM internal HR chatbot reliability retrieval augmented generation evaluation hallucinations privacy security 2025 2026Google ↗
OBSERVED
NIST AI Risk Management Framework generative AI profile human resources employment AI risk officialGoogle ↗
OBSERVED
EEOC AI employment selection procedures technical assistance officialGoogle ↗
OBSERVED
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 3 queries…
Searches and sources
ChatGPT3 real searches · gpt-6
open source LLM internal HR chatbot reliability retrieval augmented generation evaluation hallucinations privacy security 2025 2026 Google ↗
NIST AI Risk Management Framework generative AI profile human resources employment AI risk official Google ↗
EEOC AI employment selection procedures technical assistance official Google ↗
- Employment Tests and Selection Procedures · eeoc.gov
- Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile · nist.gov
- IR 8579, Developing the NCCoE Chatbot: Technical and Security Learnings from the Initial Implementation · csrc.nist.gov
- Addressing trust requirements in the design of an open-source multi-agent LLM-based domain-specific chatbot | Requirements Engineering · link.springer.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
open source LLM internal HR chatbot reliability retrieval augmented generation evaluation hallucinations privacy security 2025 2026 OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
NIST AI Risk Management Framework generative AI profile human resources employment AI risk official OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
EEOC AI employment selection procedures technical assistance official OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |