LlamaIndex

Patterns this framework supports natively

• ★★ Agentic RAG — Replace static retrieve-then-generate with autonomous agents that plan, choose sources, retrieve iteratively, reflect, and re-query.
• ★★ Naive RAG — Condition the generator on top-k chunks retrieved from an external dense index so knowledge lives outside parameters.
• ★★ Hybrid Search — Combine sparse lexical retrieval (BM25) with dense vector retrieval and fuse the results.
• ★★ Cross-Encoder Reranking — After cheap bi-encoder or BM25 retrieval, rescore top-N candidates with a cross-encoder that jointly attends over (query, candidate).
• ★ Contextual Retrieval — Prepend a short LLM-generated description to each chunk before embedding so the chunk carries its situating context.
• ★ HyDE — Have the LLM write a hypothetical answer document, embed it, and use it as the retrieval query.
• ★★ Citation Streaming — Stream citations alongside generated text so the UI can render source links in place as content appears.
• ★★ Eval Harness — Run a held-out dataset against agent versions to detect regressions and measure improvement.