trying to land an enterprise customer as a startup

This will be interesting trec-product-search.github.io

Search has never been more relevant in a world of generative AI. Very excited to announce Elasticsearch Relevant Engine, bundling a lot of the work we have done over the past couple of years, and all the exciting work to come

It’s been a jam-packed week at #MSBuild! We launched the Elasticsearch Relevance Engine (ESRE) and our team has been busy connecting with attendees to share how ESRE can help build better #AI powered search applications. Learn more: go.es.io/43q7Ffi

Asking a question and getting back a list of search results already seems so old-fashioned.

If I don’t say it enough, this is a fantastic resource lnkd.in/gX6c8fqA

I ❤️Lucene. Like so many times before (real time search, doc values, bm25, bkd, compressions, …), we are actively investing in making Apache Lucene also a great Vector Database elastic.co/blog/accelerat…

Why we designed, in the last couple of years, Elasticsearch and Lucene vector database implementation the way we did, and where we are heading elastic.co/fr/blog/vector…

This is why optimization tasks are addictive! Getting some nice improvements for vector search in Apache Lucene 9.7. github.com/erikbern/ann-b…

New in 🦜🔗==0.0.265! 3 new model wrappers and vector store improvements: 🐾 Ernie chat model 🚅 Berta Rivera aisa LiteLLM chat model support 🪄 @neuralmagic DeepSparse LLM 🤹 Major Elastic vector store improvements a 🧵:

🤹 New Elastic vector store Joe McElroy has done a huge revamp and added a new Elasticsearch-backed vector store, allowing for a number of new index / query strategies. Try it out: ``from langchain.vectorstores import ElasticsearchStore`` Docs: python.langchain.com/docs/integrati…

more #elasticsearch integrations coming your way :) PS: we'll also have LangChain at our upcoming ElasticON AI event in san francisco: elastic.co/events/elastic…

The latest and greatest in 🦜🔗: 🧠 Neural Internet | SN27 Bittensor LLM ⚡ DashVector store 🤖 Zep AI vector store ♻️ Elastic search self-querying retriever a 🧵:

♻️ Elastic search self-querying retriever Combine the power of the Elasticsearch vector store with LangChain’s query constructor chain to create a self-querying retriever. Huge s/o to Joe McElroy for continuing to add Elasticsearch features to 🦜🔗! Docs: python.langchain.com/docs/modules/d…

LlamaIndex + Elastic 🚀 This has been a highly requested feature (a lot of our users are using Elasticsearch!) HUGE shoutout to Joe McElroy for making this happen. - Vector/text/hybrid search - Metadata + metadata filtering - es_filters - And more! gpt-index.readthedocs.io/en/stable/exam…

Interested in multilingual vector search with #Elasticsearch? New blog post drop featuring Microsoft's multilingual E5 embedding model. Have a read, run the notebook, und suche in deiner Sprache! 😉 search-labs.elastic.co/search-labs/mu…

🦜🏁Self Query Template (Elastic) Often times documents come with really useful metadata! But how can you best take advantage of this metadata when doing RAG? 🤔 Self-query is one way to do so. This converts a 🗨️natural language query into one piece that is embedded and

Vector Similarity Computations FMA-style elastic.co/search-labs/bl…

Domain-specific generative AI: comparing pre-training, fine-tuning, and RAG as approaches for storing and retrieving knowledge from LLMs. Learn more: go.es.io/47EQJn6 #ElasticSearchLabs #GenerativeAI

Great move. Excited to try this out.