
LlamaIndex in 2026: Workflows, Agents, and What Changed
LlamaIndex in late 2026: Python Workflows 2.26 with typed events, human-in-the-loop and DBOS durability, plus LiteParse. LlamaIndex.TS is deprecated.
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Which embedding model to use in 2026: 20+ API and open-weight models compared on price per 1M tokens, dimensions, max input and license, with storage math.

LlamaIndex in late 2026: Python Workflows 2.26 with typed events, human-in-the-loop and DBOS durability, plus LiteParse. LlamaIndex.TS is deprecated.

EmbeddingGemma 2 is a 740M open model that embeds code, images, video and audio in one space. Specs, Matryoshka storage math, and where it breaks.

SearchOS turns web research from a growing chat transcript into shared state: frontier tasks, evidence graphs, coverage maps, and failure memory. That is the pattern serious deep-research agents need.

pgvector, Pinecone, Qdrant, Weaviate, Chroma, Milvus, and Turbopuffer compared on hosting model, filtering, scale, and cost for RAG.

Agentic AI reliability is a systems problem. The Bayer and Thoughtworks PRINCE case study shows it comes from context routing, traces, evals and human review.

SNEWPAPERS is a useful Show HN signal: the strongest agentic search products do not replace search results with prose. They teach the agent to operate a real search system.

OpenAI Privacy Filter is an open-weight PII redactor. How to wire it into a local RAG ingestion pipeline and how it benchmarks against Presidio and regex.

RAG with Claude in production: structure-aware chunking, hybrid retrieval, citation tracking, and the prompt caching trick that makes RAG cheap enough to ship.

AI agent memory patterns that fix forgetting between sessions: CLAUDE.md persistence, RAG retrieval, conversation summarization, structured and tiered memory.

How RAG works, why it matters, and how to implement it in TypeScript. The technique that lets AI models use your data without fine-tuning.
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