Supercharge AI Assistants with Superagent and DataStax
Blog post from DataStax
OpenAI recently announced new features enabling developers and enterprises to use GPT4 with their own data. DataStax Astra DB is now integrated with SuperAgent, an open-source framework that helps build AI assistants for production. This integration allows users to leverage real-time data feeds and LangChain's ecosystem. Retrieval augmented generation (RAG) is a common design pattern for generative AI applications, which can be applied to scale using Superagent and Astra DB with vector. An example use case involves automating the combination of structured and unstructured SEC data to better understand companies and industries.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 3 | 103 | 46 | 20 | +56% |
| RAG | 2 | 1,169 | 164 | 57 | +46% |
| Real-time | 2 | 2,676 | 681 | 199 | -1% |
| LLM | 1 | 3,222 | 391 | 126 | +3% |
| Vector Search | 1 | 2,634 | 269 | 90 | +49% |
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.