Search

13 results for “rag” (members search the full text)

• GuideStarterAny assistantRAG for Beginners - Letting AI Answer from Your Own DocumentsRetrieval-augmented generation explained without jargon: how an assistant looks things up in your files before answering, and where it still goes wrong.
• GuideProAny assistantRAG for Engineers - Chunking, Embeddings and Evaluating RetrievalThe practical decisions in a retrieval pipeline: how to chunk, which embedding choices matter, hybrid search, and how to measure retrieval separately from answers.
• Q&AStarterAny assistantShould I use RAG or fine-tuning to teach an AI my company's knowledge?For facts and documents that change, use RAG, which fetches relevant text at question time.
• Q&AStarterAny assistantWhat is RAG and why do people use it with AI?RAG, or retrieval-augmented generation, means searching your own documents for relevant passages and giving them to the model along with the question, so it answers from real material instead of memory.
• PromptProDeepSeekSQL Performance ReasoningAsking for step-by-step reasoning about where the time goes encourages the model to work from the schema and plan rather than apply generic tips.
• GuideStarterAny assistantWriting Your First Good PromptA simple five-part recipe for prompts that get useful answers on the first try, with before-and-after examples you can adapt to any assistant.
• GuideStarterAny assistantHow AI Agents Work - The Loop, Tools and MemoryA clear mental model of an AI agent: the loop it runs, the tools it uses, what counts as memory, and where things go wrong.
• GuideBuilderAny assistantRate Limits and Usage Caps - Why You Hit Them and How to CopeUnderstand the difference between app usage caps and API rate limits, why they exist, and how to work within them with batching, caching and retries.
• PromptProAny assistantAdd a Self-Check Step to an AgentA separate review pass catches errors the first pass missed.
• PromptBuilderAny assistantNegotiation Preparation PartnerInterests and a walk-away point move preparation from positions to trades.
• PromptBuilderLlamaTest a Local Open Model FairlyFive small tasks that you can judge yourself reveal summary quality, format discipline, coding, explanation and reasoning.
• Q&AStarterAny assistantWhat does "context length exceeded" or "message too long" mean?It means the text you sent, plus any reply space reserved for the answer, is larger than the model can handle in one request.
• AgentProAny assistantTest-Case Generator That Thinks Like a Mutation TesterWrites tests for a function and states which bug each test would catch, then tries to mutate the code mentally to find tests that would still pass.