Chat Towards Data Science: Building a Chatbot with Zilliz Cloud
Blog post from Zilliz
In the first part of the Chat Towards Data Science blog series, we guide you through building a chatbot using your dataset as the knowledge backbone. We employ web scraping techniques to collect data for our knowledge base and store it in Zilliz Cloud, a fully managed vector database service built on Milvus. The tutorial covers creating a chatbot for the Towards Data Science publication, demonstrating how to prompt the user for a query, vectorize the query, and query the vector database. However, we discovered that while the results are semantically similar, they are not exactly what we desire. In the next part of this blog series, we will explore using LlamaIndex to route queries and see if we can achieve better results.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Vector Search | 33 | 1,500 | 202 | 67 | -14% |
| LLM | 3 | 2,134 | 271 | 94 | -26% |
| RAG | 3 | 466 | 92 | 33 | +83% |
| Data Pipeline | 2 | 315 | 134 | 60 | -18% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.