Supercharge AI Data Management With Knowledge Graphs
Blog post from MongoDB
WhyHow.AI has developed an open-source platform using MongoDB that enhances data management and insights for organizations leveraging knowledge graphs. Knowledge graphs address the limitations of traditional retrieval-augmented generation systems by capturing intricate relationships and contextual nuances in enterprise data, enabling accurate and deterministic retrieval processes. WhyHow.AI offers tools to combine large language model workflows with Python- and JSON-native graph management, using MongoDB's robust capabilities to combine structured and unstructured data and search capabilities, enabling efficient querying and insights across diverse datasets. The platform advocates for a schema-constrained graph creation method that emphasizes context-specific schemas tailored to the user's use case, ensuring flexible storage and retrieval of knowledge graphs with MongoDB's adaptability and schema enforcement features.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 6 | 3,220 | 466 | 154 | -13% |
| Vector Search | 6 | 1,818 | 270 | 96 | -25% |
| RAG | 5 | 1,400 | 238 | 76 | -22% |
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