Blog/Topic
Retrieval for LLM apps: hybrid search, chunking, reranking, vector stores, GraphRAG, and how to evaluate RAG answers.
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
·8 min read
How accurate text-to-SQL really is, how to give the model schema context, and the database and code guardrails that keep generated SQL safe.
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
·10 min read
Multimodal RAG with ColPali: page-image embeddings, MaxSim scoring, multi-vector storage costs, compression options and when they beat parsed text.
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
Vector search in Elasticsearch and OpenSearch: kNN and filters, BBQ and binary quantization, RRF hybrid search, GPU builds, and AGPL vs Apache licensing.
Retrieval & search
·8 min read
turbopuffer reviewed: object storage as the source of truth, SPFresh and RaBitQ, hybrid search, per-GB pricing against Pinecone, and when it wins.
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
Learned sparse retrieval in practice: how SPLADE expands terms, models and licenses, index size and latency, engine support and when it beats BM25.
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
·10 min read
Firecrawl turns URLs into clean Markdown through one hosted API. What it costs, where crawl accounting breaks down, and when to run the AGPL core yourself.
Retrieval & search
·13 min read
Semantic search for B2B shops without breaking part-number search: hybrid BM25 and vectors, filters, DE/EN/HU, LLM query parsing, reranking and metrics.
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.
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.
Retrieval & search
·10 min read
Weaviate: hybrid BM25 and vector search in one query, HNSW and disk-based HFresh, quantisation, a built-in MCP server, and what licence keys now cover.
Retrieval & search
·10 min read
A review of Qdrant: filterable HNSW, four quantisation methods, the memory tiers in v1.19 and the operations nobody publishes any more.
Retrieval & search
·11 min read
Unstructured parses PDFs, Word files and images into typed RAG elements: an Apache-2.0 library, and a platform at $0.015 a page after 10,000 free pages.
Retrieval & search
·12 min read
Evaluating RAG: recall at k, MRR and nDCG vs faithfulness and answer relevance, a golden set from real queries, a calibrated LLM judge and CI evals.