Blog/Tag
30 articles tagged RAG, newest first. Each one is sourced and written for people who ship.
Retrieval & search
·9 min read
How to pick an embedding model for RAG in 2026: what MTEB and RTEB tell you, hosted vs open weights, prices, dimensions, and a one-week bake-off.
Retrieval & search
·10 min read
Chunks lose their document. How contextual retrieval, late chunking and contextualized embedding models fix that, what each costs, and when to skip it.
Retrieval & search
·9 min read
How RAG assistants leak documents and how to stop it: ACLs on every chunk, pre-filtering, row-level security in pgvector, permission sync and leak tests.
Retrieval & search
·10 min read
Product data is structured, so chunking it like PDFs fails. How to serialize PIM attributes, route spec questions to filters and keep answers exact.
Retrieval & search
·12 min read
How to rewrite follow-up questions in a B2B shop assistant: coreference, HyDE, multi-query expansion, filter extraction, latency and evaluation.
Retrieval & search
·10 min read
Question generation from chunks, hard negatives, answerability labels, German and Hungarian coverage, contamination and human spot checks.
Retrieval & search
·9 min read
Why PDF parsing decides RAG quality, how Docling, Marker, MinerU and VLM OCR differ, and how to test a parser on your own documents.
Retrieval & search
·7 min read
How to build RAG over German and Hungarian content: multilingual embeddings, compound words, stemming, accents and per-language evals.
Retrieval & search
·5 min read
How binary and int8 quantization and Matryoshka truncation shrink vector indexes 4 to 32 times, what they cost in recall, and how rescoring wins it back.
Retrieval & search
·11 min read
Zep: a hosted agent-memory API on a temporal knowledge graph. Credits on writes, free retrieval, Flex from $125/month, Graphiti as the self-hostable part.
Retrieval & search
·13 min read
Microsoft GraphRAG and LightRAG: what indexing costs, and when a knowledge graph beats vector RAG for multi-hop, global questions and product catalogues.
Retrieval & search
·8 min read
How coding agents find code: AST chunking with tree-sitter, repo maps, Merkle-tree index sync, code embedding models in 2026, and when grep beats an index.
Retrieval & search
·8 min read
Rerankers in October 2026: pointwise, listwise and late interaction, Cohere, Voyage, bge, Qwen3, Jina and mxbai, prices, self-hosting and choosing k.
Retrieval & search
·8 min read
Tables in RAG: why chunking breaks them, pdfplumber, Camelot, Docling and cloud extractors, what TEDS misses, serialization, and routing questions to SQL.
Retrieval & search
·8 min read
Fine-tuning embedding models for your domain: when it beats a reranker, hard negatives, sentence-transformers v6 losses, Matryoshka, evals and cost.
Retrieval & search
·8 min read
Building a knowledge graph with LLMs: a minimal ontology, extraction prompts, entity resolution, provenance, incremental updates, evaluation and storage.
Retrieval & search
·8 min read
Keeping a RAG index current: staleness budgets, dirty tracking, CDC from Postgres with Debezium, deletes and permissions, blue/green swaps and costs.
Retrieval & search
·9 min read
LanceDB review: an Apache-2.0 embedded vector library with IVF and HNSW index choices, hybrid search with rank fusion, and what the Enterprise tier adds.
Retrieval & search
·10 min read
pgvector 0.8.7: iterative scans for filtered search, HNSW and IVFFlat, binary quantisation at 100M vectors, and the CVE behind an index-build patch.
Retrieval & search
·10 min read
Mem0: facts extracted from every turn, the April 2026 benchmark table and its platform-only caveat, four cloud tiers, and what self-hosting leaves out.
Retrieval & search
·10 min read
Milvus 3.0.2 is the most complete open-source vector database and the heaviest to run: architecture, hybrid search, costs, and where not to use it.
Retrieval & search
·10 min read
A review of Microsoft GraphRAG 3.2.0: MIT, maintenance mode, and an indexing bill that is decided before the first query runs.
Retrieval & search
·13 min read
Cutting hallucinations in production RAG: citation APIs, abstention, claim-level checks, faithfulness metrics, source UI, and what still slips through.
Retrieval & search
·8 min read
RAG in 2026: when a cached 1M-token context beats retrieval, when hybrid search still wins, when agentic search fits, and what each costs per request.
Retrieval & search
·10 min read
RAG pipeline step by step: parsing, chunking, pgvector, BM25 and vectors fused with Reciprocal Rank Fusion, reranking, citations and retrieval evals.
Retrieval & search
·10 min read
Chroma is an Apache-2.0 vector database for embedded, single-node or cloud use. Where it is pleasant, and where its best search is cloud-only.
AI agents
·10 min read
LlamaIndex in 2026: an MIT-licensed Python data and agent framework with 300+ integrations, event-driven Workflows, and a focus shifted to LlamaParse.
Retrieval & search
·11 min read
Pinecone review: read units scale with namespace size, schemas are fixed at creation, and when self-hosting is the better buy.
Retrieval & search
·13 min read
pgvector, Qdrant, Weaviate, Milvus, Pinecone, OpenSearch or Elasticsearch? A practical 2026 guide to filtering, hybrid search, scale, cost and EU hosting.
LLMOps & evals
·12 min read
Fine-tuning vs RAG vs prompting: what each changes, what it costs, who still offers SFT, DPO and RFT in 2026, and a decision tree.