Hebbia

Where sparse (BM25/SPLADE) retrieval reliably beats dense embeddings

Contextual retrieval prepends generated context to each chunk before embedding — what chunking failure does that fix?

Contextual retrieval, in one move at ingestion time

Walk through SWE-bench, AgentBench, GAIA, and TAU-bench: what they measure, their shared blind spots, and how to interpret agent benchmark numbers.

Match each embedding-model selection scenario to the model attribute or check that most determines the right choice.

Flashcard: what role does the LLM's context window play in a RAG pipeline?

Spot the augmentation config bug in this production RAG YAML that's causing 'lost in the middle' faithfulness regressions on long-context queries.

Which of the following are augmentation sub-decisions in a production RAG pipeline? Select all that apply.

Flashcard: name the three augmentation sub-decisions in a production RAG pipeline.

Describe three patterns for inserting human approval into an agent workflow and their tradeoffs