Agentic data science with the Data Agent Kit
cloud.google.com·7h ago
Data Science
Towards Data Science·Jul 30·5 min read
How to Build a Context Layer and a Company Brain
TL;DR
Building a context layer and a company brain enables organizations to consolidate their knowledge for effective use by large language models (LLMs). This process is complex, with only a small portion represented in initial demonstrations.
✦ Why It Matters
Start mapping your company's knowledge to create a context layer for better AI integration today.
Key Takeaways
- Establish a continuous reconciliation loop for data ingestion.
- Utilize multiple indexing strategies for accurate data retrieval.
- Incorporate user-generated content to enhance system knowledge.
- Ensure data integrity with robust access control mechanisms.
How It Works
The context layer continuously maps data sources into normalized context items, employing a declarative datamap structure. This allows for efficient ingestion and indexing, ensuring that updates reflect in real-time.
The system uses various indexing methods, including relational databases for truth, keyword indexes for search, and knowledge graphs for structural relationships, enabling comprehensive and accurate data retrieval.