Workflow · workflow
Building semantic search and a RAG chat assistant over podcast transcripts with ApertureDB, Cohere, and LangChain
The author wanted to correlate learnings across podcast episodes, revisit earlier ideas, and share summaries — requiring a queryable, conversational interface over transcript data.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · User submits query
A user submits a natural-language question to query the stored podcast transcript data.
Tools used
ApertureDBWhisperLangChainCommand-R-plusembed-v3
Outcome
The system enables semantic search and a conversational chat assistant over podcast transcripts, though the author acknowledges limitations in accurately retrieving nuanced information.
Grounding & classification
Source type: technical build writeup
14 fields verified against source quotes.
conversational aiknowledge searchragspeech to textknowledge basebuilder submittedtools describedworkflow describedtechnical build writeuprag answering