How can a chat workflow bring an answer and useful source material together?
A Python chatbot project using OpenAI GPT-3.5, with utilities described for information retrieval, web scraping, summarization, and conversation.
AI applications / Personal project · API keys required
LLM Assistant.
A terminal assistant combining chat with retrieval and web lookups.
PythonOpenAI APIRequestsSearch APIs
INTERACTIVE WALKTHROUGH / 01
Choose a control and see how the system’s ideas fit together.
llm assistant / interactive studyLOCAL PREVIEW
AI
Research assistantCONCEPT UI / NO API CONNECTION
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Make the system’s logic visible.
Connect a conversational interface with search and scraping utilities, then use an LLM to synthesize and summarize the collected information.
A CLOSER LOOK / 04From the first input
From the first input
to a useful outcome.
This sequence summarizes the project’s core idea. The interactive panel is a local visual study; use the linked repository or live service for the implemented project.
01 →
Ask
Start from a natural-language question in a terminal chat workflow.
02 →
Gather
Use configured search and scraping services to bring relevant material into the session.
03 →
Summarize
Use the language model to turn the gathered context into a conversational response.
KEEP EXPLORING / 05Read the source.