Big moment for Postgres! Search has always been Postgres'... weak spot, and everyone just accepted it. If you needed a real relevance-ranked keyword search, the default answer was to spin up Elasticsearch or add Algolia and deal with the data sync headaches forever. The problem isn't that Postgres can't do text search. It can. But the built-in `ts_rank` function uses a basic term frequency algorithm that doesn't come close to what modern search engines deliver. So teams end up: - Running a separate Elasticsearch cluster just for search - Building sync pipelines that inevitably drift out of consistency - Paying for managed search services that charge per query - Accepting mediocre search relevance because "good enough" ships faster But this is actually a solvable problem. You can realistically bring industry-standard search ranking directly into Postgres, which eliminates the need for external infra entirely. This exact solution is now available with the newly open-sourced pg_textsearch by Tiger Data - Creators of TimescaleDB, a Postgres extension that brings true BM25 relevance ranking into the database. BM25 is the algorithm behind Elasticsearch, Lucene, and most modern search engines. Now it runs natively in Postgres. Here's what pg_textsearch enables: - True BM25 ranking with configurable parameters (the same algorithm powering production search systems) - Simple SQL syntax: `ORDER BY content 'search terms'` - Works with Postgres text search configurations for multiple languages - Pairs naturally with pgvector for hybrid keyword + semantic search That last point matters a lot for RAG apps. The video below shows this in action, and I worked with the team to put this together. You can now do hybrid retrieval (combining keyword matching with vector similarity) in a single database, without stitching together multiple systems. The syntax is clean enough that you can add relevance-ranked search to existing queries in minutes. pg_textsearch is fully open-source under the PostgreSQL license. You can find a link to their GitHub repo in the next tweet.show more

New in Brave for Android: Custom search engine support!... 🔎 You can add new search engines, or sites with search, at Settings -> Search Engines. Now they'll appear as Quick Search options when you start typing a query into the address bar.show more

What Postgres can’t do alone, it can tackle with... DuckDB. The pg_duckdb extension shows how two databases can work hand in hand by querying analytical data with DuckDB and joining it with transactional data in Postgres. The extension embeds DuckDB directly into Postgres. DuckDB literally runs inside a Postgres process. How it works (see diagram): 1. An app sends a query to Postgres joining portfolio data (Postgres) with historical market data (lakehouse) 2. pg_duckdb detects lakehouse access and delegates execution to DuckDB 3. DuckDB pulls required market data from the lakehouse, queries Postgres tables, and performs the join 4. Postgres returns the final result to the appshow more

AI-powered semantic documentation search? 🔥 It feels like chatting... with the website, rather than searching through it. A combination of keyword-based search and semantic search is definitely going to be the future!show more

🏆🔙 Ranking Event is back again! Looking for players... eligible for the latest Ranking Event? Skip the scrolling. You can find them instantly on eFHUB™ using our Event Filter in Player Search 🔍 Oh, And It works with Smart Search, too.show more

we built an extremely good code search agent. it’s... called tracer, and it can search across the entire github in less than 5 minutes and come back with a clean report. you can try it by running 'bunx nia-wizard'show more

The new Product Page Header image in the App... Store will not matter. First you need users to actually want to enter your App Store listing. And the reality is that a lot of users NEVER enter the listing. They search for something, see the app in the search results and download it directly from there. So the important update here is the new Search Results image. It's an app banner inside the App Store search results. And you should think about it as a persuasive ad. COPYWRITING will be what matters. Not the fancy "branding". Users are searching because they want an answer to something. Your creative needs to give them that answer immediately. And this becomes even more important with Apple Ads. You can pay to appear for the keyword, but your creative still needs to convince the user that your app is the answer they were searching for.show more

Today, we launched a brand-new intelligent Search box. Here's... what that means: An upgrade to the Search experience with our most advanced Gemini 3.5 models, bringing with them our latest agentic capabilities You can ask across modalities (text, images, files, and videos) and Search can reason across them all We're combining AI Overviews and AI Mode into one, seamless AI Search experience. So you can ask follow-up questions, build context, and received even more tailored and personalized responses This new AI Search experience is live today across desktop and mobile, worldwide.show more

Do you struggle with skipping to the good part... of the video? 👀 ▶ ──🔘── 19:19 We're piloting the ability to search within videos on your phone's Search app. Just type in your query using the ‘Search in video’ feature & find exactly what you’re looking for. #GoogleForIndiashow more

We've made it easier to search specific sites through... Brave Search! Brave Search now includes search bangs in its suggestions so you can quickly find these shortcuts. You can also browse the full list of 12,000+ bangs supported on Brave Search here:show more

Big tables in Postgres can be a real pain.... This is true of many databases, but the reasons for this are very different in MySQL vs Postgres vs YOUR_FAVORITE_DB. This article by simeonGriggs beautifully covers all the common issues, and how to solve with partitioning and sharding. Combined with all the excellent visuals, a must-read for anyone using Postgres.show more

Finding places to explore is easier than ever with... the new search feature. 🔎🗺️ Search for a place or event, and jump in!show more

Why open a browser just to search the web?... Connect TinyFish's free Search to a Raycast script. Now you can query the entire live internet right from your keyboard.show more

Looking to build apps that can search the web,... images, videos and more? Brave just made it incredibly simple to connect your Kiro projects with real-time access to the web using their latest MCP server for Brave Search. Learn more 👉show more

A search engine has many moving parts, and they... constantly change with scale of index and traffic. In this blog post, we dive into the code-level abstractions we've built to develop search infrastructure that is both performant and a joy to work with.show more

iMessage search is still broken in 2025. So I... fixed it myself. It doesn't even work most of the time. When it does, it's slow, misses messages constantly, and only matches exact words. Search "dinner" and you won't find "let's grab food." iMessage Intelligence fixes all of this while also being insanely fast. Here's how it works: → Full text search index on your messages for keyword matching → On-device ML (MiniLM via CoreML) generates semantic embeddings. Your Mac generates these embeddings in under a minute, then syncs to your phone → sqlite-vec stores vectors locally for similarity search → Hybrid results: keyword hits appear in <10ms, semantic matches merge in <60ms It also has advanced filters iMessage doesn't have: sort options, date ranges, conversation filters, sent vs received, groups vs 1-on-1. Search runs 100% on-device. No cloud processing. Sign up for the waitlist:show more

this is wild! so new apple apps pop up... in search in the full name when you start to type them but if you click the suggestion, it will be buried under 10 other apps.. however if i just search my app “lovelee” without full keyword match it pops up instant. see what i mean:show more

The most exciting thing that I've been working on... lately in the file search field is the GPU acceleration of file search. You might think that I'm dumb or something, but it is a real next step. fff is already on the edge of what is possible on CPU, but our design with the storage is actually oriented on the embarrassingly parallel search, which couldn't be more effective than on GPU. If you'd think about this deeper: 99% of the time file search happens on the local machine of the user. Your melting macbook pro that is using precious CPU cycles to build your Rust project right now is getting wasted on the smart typo-resistant fuzzy matching which is a quadratic complexity algorithm that needs more resources the longer your query is. What if we use GPU instead? Cause we already have it and it is likely idle if user is typing into a search box. And honestly there are some good results so far. I was able to bring fff down to 20% cpu usage at all times no matter how absurdly long your queries are and no matter how many files you have Here is a little sneak peak. Running on M4 max 1.6TB home dirshow more