Twitter Thread tl;dr With AI? Part 1
Blog post from Couchbase
The author has successfully integrated Twitter data scraping, vectorization, indexing, and querying into Couchbase using Python, leveraging OpenAI's ChatGPT model for vector generation. They have demonstrated a Retrieval Augmented Generation (RAG) workflow that utilizes Couchbase as a database to store and query the transformed tweets. The author uses this setup to search for tweets similar to a given query, showcasing how Couchbase can be used to enhance LLM-based applications by providing additional context.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Vector Search | 29 | 1,187 | 169 | 73 | -55% |
| LLM | 11 | 2,643 | 305 | 124 | -22% |
| RAG | 9 | 773 | 144 | 59 | -57% |
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.