Carlos Delgado @carlosdelest
Software Architect and Developer. Sometimes I even pass the Turing test. Joined October 2011-
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Elasticsearch is under-appreciated and not particularly well understood. It’s worth getting familiar with if you’re dealing with a lot of documents, particularly for agentic search workflows with LLMs via MCP tools.
Elasticsearch is under-appreciated and not particularly well understood. It’s worth getting familiar with if you’re dealing with a lot of documents, particularly for agentic search workflows with LLMs via MCP tools.
With Elasticsearch adding this, multi-vector embeddings are now officially mainstream.
Metadrop @metadrop achieved a 10/10 score on their homepage using Dries Buytaert's HTTP Header Analyzer, writes @sanzante. This tool evaluates HTTP response headers, including Drupal-specific ones, providing recommendations for optimization. bit.ly/4eIOvqB
Now that the few post-merge failures are fixed, time to take a minute to celebrate the achievement: Lucene 10 will support decoupling search concurrency from the index's segment geometry. Still work to do, but a great step forward: github.com/apache/lucene/…
Elasticsearch (and Kibana) are Open Source, Again! Soooo excited. Read more in the blog I wrote elastic.co/blog/elasticse…
In part 4 of the ‘Inside Elastic’ blog series… Antonio Schönmann addresses the challenges, solutions, and outcomes of refining search effectiveness to perfect RAG search. Learn more in this blog → go.es.io/3Mlxt5D #RAG #Elasticsearch #GenerativeAI
Gotta brag on my teammates. Autoscaling is incredibly difficult to get right. However, we are making steps in the right direction. @elastic with zero systems management is pretty neato ;) elastic.co/search-labs/bl…
console1984: pretty cool feature in rails for protecting access to sensitive information in #elasticsearch
Our brand new podcast, “You Know, For Search” is live! Join host Steve Mayzak for technical discussions on #Elasticsearch and #Lucene, #RAG, semantic and keyword search, and so much more. New episodes dropping every other week! 🎧 Ep 1 with Serena Chou: go.es.io/4fDzdVt
Discover how scalar quantization can be used to reduce the memory footprint of vector embeddings in Elasticsearch: go.es.io/3Wm8bZN #ElasticsearchLabs #ML #Elasticsearch
@NeetoCourse if you need help, discuss.elastic.co or ela.st/slack are good places for questions :)
Our July #DevRel newsletter is out now! Read more for updates on… ✅ What’s new in Elastic’s distribution for @opentelemetry ✅ The latest content from the community ✅ Upcoming events & meetups Dive in now: go.es.io/3Wx9S88
I've been working on this for a while, so excited to see it out there gag.gl/Q7Ynwq
apache arrow's streaming format is coming to ES|QL (@elastic's piped query language). popular in data science and the de-facto standard for dataframe interchange with an efficient binary format that allows zero-cost deserialization github.com/elastic/elasti…
Dive into the different similarity techniques supported by Elasticsearch when it comes to searching for neighboring vectors and how to score them: go.es.io/3RYxOi2 #ElasticsearchLabs #Elasticsearch #VectorSearch
seeing all the drama around BM42 to find something cheaper than SPLADE: it doesn't have a fancy (or made up?) name but we've seen good improvements with token pruning in #elasticsearch: elastic.co/search-labs/bl…
Finally Deep Learning for Search is printed! Thanks to everyone that contributed! @ManningBooks @chrismattmann @deeplearning4j #lucene #dlearn
Explore the simplification of kNN search! k and num_candidates are now optional. But, picking good default values for them was a tricky undertaking. This blog explains how we got there: go.es.io/3RfDBPT #ElasticSearchLabs #kNN
We’re excited to introduce Playground! Iterate and build your RAG workflows by A/B testing LLMs, tuning prompts, and chunking data. Find out how this intuitive UI can help you quickly configure #semanticsearch for production: go.es.io/4cnSl7G

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