I want to build a Slack bot powered by an LLM that answers questions from our club handbook, what is the best tech stack for this?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
I want to build a Slack bot powered by an LLM that answers questions from our club handbook, what is the best tech stack for this?
1 real search · 1 real-search pass
Slack Bolt for Python official documentation events API; OpenAI embeddings API documentation; pgvector PostgreSQL documentation; LlamaIndex ingestion retrieval documentationGoogle ↗
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 1 queries…
Searches and sources
ChatGPT1 real searches · gpt-6
Slack Bolt for Python official documentation events API; OpenAI embeddings API documentation; pgvector PostgreSQL documentation; LlamaIndex ingestion retrieval documentation Google ↗
- The Events API · docs.slack.dev
- Bolt for Python · docs.slack.dev
- OpenAI Embeddings · platform.openai.com
- pgvector · github.com
- LlamaIndex · docs.llamaindex.ai
Queries
1 queries · click a column to sort