Context Assembly For Llm Augmentation

Mind engine adapter for KB Labs Mind (RAG, embeddings, vector store integration).

Unique: Handles the full context assembly pipeline including deduplication, ranking, token budgeting, and prompt formatting, ensuring retrieved context is optimized for LLM consumption without manual post-processing

vs others: More complete than simple context concatenation because it respects context windows, deduplicates overlapping chunks, and produces formatted prompts ready for LLM inference

via “llm framework integration and prompt preparation”