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#rag

55 posts tagged rag.

OpenSearch k-NN cheat sheet: vector mappings, bulk loads, filtered and hybrid queries, aliases and health checksAI & GenAI · 12 Nov 2026
Redis vector search cheat sheet: FT.CREATE vector indexes, KNN and range queries, filters, aliases and index healthAI & GenAI · 10 Nov 2026
Cosine, dot product or Euclidean: choosing a vector distance metric without the math headacheAI & GenAI · 7 Nov 2026
RAG keeps answering from outdated documents: metadata filters, time decay and supersessionAI & GenAI · 7 Nov 2026
Azure AI Search cheat sheet: az search and REST calls for service, keys, indexes, indexers, metrics and logsAI & GenAI · 6 Nov 2026
Measure RAG retrieval properly: recall@k, MRR and a golden set that catches regressionsAI & GenAI · 6 Nov 2026
Bedrock Knowledge Base sync fails or documents go missing: ingestion statistics, failure reasons and file-level logsAI & GenAI · 4 Nov 2026
RAG citations point to the wrong document or page: fix chunk IDs, metadata and citation checkingAI & GenAI · 3 Nov 2026
Embedding ingestion job fails: input too long, batch token limits, 429s and empty vectors when indexing thousands of documentsAI & GenAI · 2 Nov 2026
Introduction to LLM guardrails: input checks, output checks and tool limits for a production chatbotAI & GenAI · 2 Nov 2026
Sev1: OpenSearch k-NN cluster is red and vector search is down — shard allocation and k-NN memory circuit breakerAI & GenAI · 31 Oct 2026
Sev1: the AI assistant gave customers wrong prices or policy answers — contain, correct and notifyAI & GenAI · 31 Oct 2026
Sev1: the RAG assistant showed users documents they shouldn't see — security trimming failure responseAI & GenAI · 31 Oct 2026
Sev1: the RAG index stopped updating and the assistant answers from old documentsAI & GenAI · 31 Oct 2026
Advanced RAG retrieval: query rewriting, multi-query, HyDE and question decomposition, measuredAI & GenAI · 29 Oct 2026
Embeddings and vector search basics: what they are, how similarity works, and a small working exampleAI & GenAI · 29 Oct 2026
Permission-aware RAG: document-level security trimming with ACL metadata and identity filtersAI & GenAI · 29 Oct 2026
RAG basics: how retrieval augmented generation works, with a minimal pipeline you can read in one sittingAI & GenAI · 29 Oct 2026
Sev1: a poisoned document in the RAG index makes the assistant give harmful or false answersAI & GenAI · 29 Oct 2026
Chroma returns poor matches: default L2 distance, HNSW settings fixed at creation, and rebuilding a collection correctlyAI & GenAI · 28 Oct 2026
Filtered vector search returns too few or wrong results: pre-filtering vs post-filtering, HNSW and iterative scansAI & GenAI · 28 Oct 2026
Hybrid search in PostgreSQL: combine pgvector and full-text search with reciprocal rank fusion in one SQL queryAI & GenAI · 28 Oct 2026
Multi-tenant RAG on Pinecone: one namespace per tenant vs metadata filters vs index per tenantAI & GenAI · 28 Oct 2026
Tuning Weaviate hybrid search: alpha, fusion type, BM25 settings and tokenization for better RAG retrievalAI & GenAI · 28 Oct 2026
Weaviate multi-tenancy in production: tenants per customer, activity status, offloading and the errors you'll meetAI & GenAI · 28 Oct 2026
Re-embedding a vector index when the embedding model retires - a zero-downtime switch with dual indexes and a recall checkAI & GenAI · 27 Oct 2026
Azure AI Search relevance tuning for RAG - hybrid queries, semantic ranker, scoring profiles and measuring the resultAI & GenAI · 26 Oct 2026
Advisory: choosing a vector store - pgvector, Azure AI Search, OpenSearch, Qdrant, Milvus or a managed vector databaseAI & GenAI · 25 Oct 2026
Advisory: choosing an embedding model - quality on your data, languages, dimensions, cost and lock-inAI & GenAI · 25 Oct 2026
Advisory: choosing document parsing for RAG - text extraction, layout models, OCR services or vision LLMsAI & GenAI · 25 Oct 2026
Advisory: RAG, fine-tuning or long context - choosing how to give a model your knowledgeAI & GenAI · 25 Oct 2026
Advisory: retrieval for RAG on lakehouse data - Databricks Vector Search or Azure AI SearchDatabricks on Azure · 25 Oct 2026
Optimization: end-to-end latency for LLM applications - where the seconds go and how to win them backAI & GenAI · 25 Oct 2026
Optimization: lowering RAG ingestion cost - incremental indexing, deduplication and choosing when to OCRAI & GenAI · 25 Oct 2026
Optimization: tuning the RAG retrieval budget - top-k, reranking depth and how much context to sendAI & GenAI · 25 Oct 2026
Sev1: Azure AI Search index is full. Indexers fail and new documents never appearAI & GenAI · 25 Oct 2026
Sev1: RAG answers got much worse after a re-index. Finding what changed and rolling backAI & GenAI · 25 Oct 2026
Sev1: the RAG assistant is showing documents people shouldn't see. Pulling the data sourceAI & GenAI · 25 Oct 2026
Sev1: vector search fails or returns nonsense after an embedding model changeAI & GenAI · 25 Oct 2026
Transformation: from a rule-based FAQ bot to a RAG assistant grounded in your own documentsAI & GenAI · 25 Oct 2026
Transformation: turning scattered ops runbooks into an on-call knowledge assistantAI & GenAI · 25 Oct 2026
Amazon Bedrock Knowledge Bases: a managed RAG setup from S3 to a working answerAI & GenAI · 22 Oct 2026
Azure AI Search disaster recovery: a second service, index rebuilds and traffic switchingAI & GenAI · 22 Oct 2026
Azure AI Search indexer failures: documents missing from your RAG indexAI & GenAI · 22 Oct 2026
Evaluating LLM answers with LLM-as-a-judge: a practical setupAI & GenAI · 22 Oct 2026
Migrating to a new embedding model without breaking searchAI & GenAI · 22 Oct 2026
RAG answers are incomplete or off-topic: tune chunk size and overlapAI & GenAI · 22 Oct 2026
Resilient RAG pipelines: queue-based ingestion, idempotent indexing and a resilient query pathAI & GenAI · 22 Oct 2026
Single-VM RAG proof of concept with Ollama and pgvectorAI & GenAI · 22 Oct 2026
Standalone Qdrant in production: install, collections, memory, security and snapshotsAI & GenAI · 22 Oct 2026
Tracing LLM applications with OpenTelemetry: see every prompt, retrieval and tool callAI & GenAI · 22 Oct 2026
Vector index DR: rebuild from source, restore a snapshot, or replicate?AI & GenAI · 22 Oct 2026
Vector index operations: HNSW tuning, memory sizing and measuring recallAI & GenAI · 22 Oct 2026
Your support chatbot is making things up: diagnosing and reducing hallucinationsAI & GenAI · 22 Oct 2026
Running a RAG pipeline in production: an operations checklistAI & GenAI · 10 Oct 2026

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