Build your own RAG Enterprise Search in 10 minutes with Credal & MongoDB
Blog post from Credal
Credal is a platform that enables enterprises to use Large Language Models (LLMs) like ChatGPT for Retrieval Augmented Generation (RAG) and AI agent applications. To run RAG, enterprises need data from internal SaaS tools such as GDrive, Slack, Confluence, and MongoDB Atlas provides an enterprise-ready solution with its unified query API, allowing control over powerful Foundation Model prompts. Credal connects to MongoDB Atlas out of the box, supports major auth schemes, and allows loading data from various sources like GDrive, Slack, or Confluence via UI or APIs. Once connected, data can be used in a chat with an LLM, and custom prompts and tools can be set up to create curated workflow assistants. Credal provides out-of-the-box functionality, customization options, and control over the data pipeline, including crawling sources, interpreting source formats, and permissions systems.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| RAG | 8 | 1,528 | 261 | 92 | -30% |
| Vector Search | 7 | 1,947 | 300 | 116 | -32% |
| LLM | 6 | 4,013 | 569 | 191 | -13% |
| AI Agents | 1 | 1,991 | 303 | 121 | +71% |
| Data Pipeline | 1 | 458 | 184 | 78 | -16% |
| Real-time | 1 | 3,875 | 964 | 250 | -11% |
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.