How to Build a Context Layer and a Company Brain

Building a "company brain" for an LLM requires a sophisticated context layer that goes far beyond a simple demo using a vector database. This system involves continuously mapping and reconciling disparate data sources like wikis and databases into a unified, indexed structure with robust handling for deletions and permission changes. Retrieval is treated as a complex orchestration problem, composing results from multiple specialized indexes (keyword, vector, graph) rather than just performing a simple similarity search. The system must also learn from user curation and usage patterns to improve its accuracy and relevance over time. Ultimately, this context layer enables an agent to not just retrieve information but also act upon it by executing queries or interacting with APIs.