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@Thepracticaldev

A constructive and inclusive social network for software developers. With you every step of your journey.

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News

DEV Community
dev.to > saaro_net > agentic-rag-2026-when-the-ai-decides-how-it-searches-9ck

Agentic RAG 2026: When the AI Decides How It Searches

9+ hour, 32+ 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…...

DEV Community
dev.to > thanmayee__0416 > flora-find-a-full-text-search-engine-for-your-own-files-built-without-a-single-third-party-bmf

Flora Find — A Full-Text Search Engine for Your Own Files, Built Without a Single Third-Party Import.

3+ day, 4+ 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....

DEV Community
dev.to > priyasundaram > the-one-whoosh-setting-that-decides-whether-search-actually-works-the-analyzer-3mp3

The one Whoosh setting that decides whether search actually works: the analyzer

3+ day, 21+ 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…...

DEV Community
dev.to > priyasundaram > dont-just-return-results-show-users-why-they-matched-highlighting-in-pure-python-1a3e

Don't just return results — show users WHY they matched (highlighting in pure Python)

2+ week, 2+ 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…...

DEV Community
dev.to > mech_app_ai > keenable-agent-first-search-api-architecture-and-the-100b-page-index-trade-off-259b

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…...

DEV Community
dev.to > alifar > measuring-ai-search-consistency-beyond-traditional-rank-tracking-559p

Measuring AI Search Consistency Beyond Traditional Rank Tracking

2+ week, 6+ day ago   (632+ words) This does not make conventional SEO measurement obsolete. Organic rankings, traffic, conversions, and technical performance remain important signals. But they do not fully describe how a brand, product, or source is represented in generated answers. A practical AI search measurement…...

DEV Community
dev.to > agenticdevops > queried-the-local-embeddings-store-for-the-first-time-42pf

Queried the Local Embeddings Store for the First Time

2+ week, 6+ 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…...

DEV Community
dev.to > alifar > google-search-console-platform-properties-bring-social-query-data-to-content-teams-5gjg

Google Search Console Platform Properties Bring Social Query Data to Content Teams

3+ week, 1+ day ago   (606+ words) Google Search Console is expanding its measurement scope beyond websites with platform properties, a new property type for linked social and video accounts. The feature lets eligible creators and site owners see how content from Instagram, TikTok, X and YouTube…...

DEV Community
dev.to > aws-builders > adding-semantic-search-to-an-existing-dynamodb-table-with-vector-indexes-4icj

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…...