
RAG with Claude: Add Context Without Retraining
RAG with Claude in production: structure-aware chunking, hybrid retrieval, citation tracking, and the prompt caching trick that makes RAG cheap enough to ship.
107 articles - page 9 of 9

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

MCP servers are stdio-only black boxes. MCP Lens proxies the JSON-RPC stream, captures every frame, and serves a local inspector at localhost:4040.

Promptlock gives every prompt a 12-char content-addressable id and a diff-able artifact, turning silent prompt drift into a reviewable change.

Anthropic's Claude Haiku 4.5 delivers Sonnet 4-level coding performance at one-third the cost and twice the speed. Here is what developers need to know.

Claude vs GPT for real TypeScript work: benchmarks, pricing, model families, and the practical differences that matter when picking a coding model.

Claude Sonnet 4.6 nears Opus on agentic work and computer use at half the cost. Benchmarks, adaptive thinking, model card findings and the 1M context beta.

Claude Opus 4.6 adds agent teams, a million-token context window, adaptive thinking and context compaction. The benchmarks and what changes for agentic coding.

Claude Opus 4.5 is the Anthropic model built for coding agents and computer use. Its pricing, benchmarks, token efficiency, effort parameter and agent features.

Claude Skills load instructions, scripts and resources progressively so context stays small. A technical deep dive into SKILL.md, the API and Claude Code use.

Claude Sonnet 4.5 in Claude Code uses parallel subagents to build a Next.js site and ten arcade games from three prompts. What worked and what still broke.
Showing 97-106 of 106 articles

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