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News
Agentic RAG 2026: When the AI Decides How It Searches
34+ min ago (274+ words) Production systems standardly use LangGraph as the orchestration framework for this, supplemented by LlamaIndex for the retrieval layer. LangGraph's checkpointing makes every step of the agentic loop traceable, pausable (for human approvals), and repeatable – an essential property for compliance and…...
Flora Find — A Full-Text Search Engine for Your Own Files, Built Without a Single Third-Party Import.
2+ day, 19+ hour ago (364+ words) We've all had that moment of typing a filename into search and getting nothing back, because the file... Tagged with python, beginners, testing, webdev....
The one Whoosh setting that decides whether search actually works: the analyzer
3+ day, 12+ hour ago (391+ words) Nine times out of ten the answer is the analyzer — the small pipeline that decides how text becomes searchable tokens. It runs when you index and when you query, and if the two sides don't agree on what a "word…...
Don't just return results — show users WHY they matched (highlighting in pure Python)
2+ week, 1+ day ago (187+ words) You don't need Elasticsearch for that. Whoosh — the pure-Python full-text search library — ships a full highlighting engine. Here's how to use it. (whoosh3 is the maintained fork; you still import whoosh.) One important gotcha: the field you highlight must be stored…...
Your WordPress Search Plugin Should Return Post IDs and Nothing Else
2+ week, 4+ day ago (859+ words) In the space of a month I was asked three questions that looked completely unrelated: The choice If you write a plugin that replaces WordPress search, you pick one of two shapes. Shape one: own the pipeline. You build your…...
Keenable: Agent-First Search API Architecture and the 100B-Page Index Trade-Off
2+ week, 4+ day ago (1111+ words) Agents don't search like humans. They issue hundreds of queries per session, need structured extraction over snippet relevance, and care more about p95 latency than the perfect top result. Keenable built a search API around those constraints with a 100B+ page proprietary…...
Queried the Local Embeddings Store for the First Time
2+ week, 5+ day ago (820+ words) Context: Building the vector store in the last entry was only half the job — the actual point of embeddings is being able to ask a question and get back the right stored document, not just any document. Chroma does this…...
Full-Text Search Still Works. It Just Doesn’t Get You to an Answer
2+ week, 6+ day ago (1027+ words) Imagine a typical online shoe store. A shopper opens search and types: I need black waterproof running shoes for daily runs on wet pavement. What would you recommend? A few years ago, almost no one expected this from a search…...
Adding Semantic Search to an Existing DynamoDB Table with Vector Indexes
3+ week, 2+ day ago (785+ words) The current API uses a serverless setup. It includes SAM for infrastructure, API Gateway in front, Lambda functions behind, and DynamoDB for storage. The API contains plain CRUD operations to manage recipes: create, read, update, delete, and list. Semantic search…...