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Retrieval Augmented Generation (RAG) with ChatGPT, Langchain, and Elasticsearch

Retrieval Augmented Generation (RAG) with ChatGPT, Langchain, and Elasticsearch

Step by step guide to implement RAG using OpenAI's ChatGPT, Langchain and Elasticsearch as a vector store.

Opensearch vs Elasticsearch for Semantic Hybrid Search

Opensearch vs Elasticsearch for Semantic Hybrid Search

In this post, we get into the details comparing features between Elasticsearch and Opensearch semantic hybrid search; helping you decide which is right for you.

Improve Elasticsearch Relevance Using Text Embeddings and kNN-Search: A Comprehensive Guide to Semantic Search Optimization

semantic search

Improve Elasticsearch Relevance Using Text Embeddings and kNN-Search: A Comprehensive Guide to Semantic Search Optimization

In this guide we will: walk through the major components of Semantic Search, get started with Elasticsearch using dense vectors, and take the next steps for stepping up your search functionality.

Troubleshooting Elasticsearch: 10 Tips for Solving Common Problems

troubleshooting

Troubleshooting Elasticsearch: 10 Tips for Solving Common Problems

In this post, we'll share 10 tips for troubleshooting and solving common Elasticsearch headaches.

Parent-child vs Nested Joins in Elasticsearch

Parent-child vs Nested Joins in Elasticsearch

You have two main options for modeling complex relationships between documents in Elasticsearch: parent-child joins and nested.

Elliptic Gains 10x Improvements After Re-architecture

After implementing Elasticsearch with Gigasearch for their use case, the 95th percentile latency on loading the main table of data went from 5 seconds to 0.3 seconds. They went from being able to run hundreds of queries per second to thousands.

Speeding up Elasticsearch Rolling Restarts and Upgrades

Speeding up Elasticsearch Rolling Restarts and Upgrades

Speed up your Elasticsearch restart or upgrade process with these tips!

Elasticsearch Log4j Vulnerability and Mitigation

Elasticsearch Log4j Vulnerability and Mitigation

Find out whether you need to patch or upgrade your Elasticsearch clusters for the log4j vulnerability, and how.

Vendasta: Upgrading Elasticsearch from 2 to 7 on ECK

After the project with Gigasearch, Vendasta was able to deploy a stable Elasticsearch 7 cluster in ECK, and address key concerns like parent-child mappings and noisy neighbor issues.

Benchmarking Search Performance: Elasticsearch vs competitors

Benchmarking Search Performance: Elasticsearch vs competitors

We decided to benchmark performance of Elasticsearch competitors to find out how they stack against the Elasticsearch - both by feature set and performance.

Which Elasticsearch Provider is Right For You?

Which Elasticsearch Provider is Right For You?

In this post, we’ll explain the core differences between Elastic Cloud, AWS ESS, and self-hosted, so that you can make an informed decision.

VuePlanner Successfully Re-architects for Scale

This Elasticsearch re-architecture with Gigasearch is ultimately what fixed all of our performance issues. We haven’t had a problem since then.

Search at TheTaxBook: From Pain Point to Selling Point

Learn how Gigasearch helped improve relevance, configure Elasticsearch for production, and boosted search from a pain point to a selling point.

Helping Hiero7 Scale With Confidence

Learn how Gigasearch helped them dramatically improve their dashboard load times, and provided a road map for scaling with confidence.

Elasticsearch Hot-Warm Architecture

Elasticsearch Hot-Warm Architecture

Your Elasticsearch cluster is growing rapidly. So rapidly, in fact, that you can no longer retain the amount of data you want without paying an obscene AWS or GCP bill. Most of your searches might be for data from the last couple days, but you have a long tail of

AWS Elasticsearch Tutorial: Your First Cluster

AWS Elasticsearch Tutorial: Your First Cluster

AWS's Elasticsearch Service has come a long way from when it was first introduced, and we at Gigasearch [https://www.gigasearch.co] feel it is ready for most production workloads. It eliminates much of the pain of operating Elasticsearch yourself, allowing you to focus on your application and