The Curious Engineer

All blogs / Databases

Meilisearch Blog

meilisearch.com/blog

Latest news, tutorials, and updates from the Meilisearch team. Learn about search, AI, and building great user experiences.

DatabasesAI / ML

’23’24’25’26
Posts
316 from 21 Nov 2023 to 13 Oct 2026
Posting
weekly (63 in the last year)
Kind
company blog
Feed
https://www.meilisearch.com/feed.xml

2026 46

  1. RAG vs. MCP: Differences, use cases, and when to use each
  2. Meilisearch September 2026 updates
  3. Full-text search vs. semantic search: A full comparison
  4. Raptor RAG explained: A full guide to hierarchical retrieval
  5. How to diagnose search performance problems in a growing B2B SaaS product
  6. Agentic search: building search tools for AI agents with Meilisearch and the Vercel AI SDK
  7. 10 best OpenSearch alternatives: full comparison in 2026
  8. 10 best Lucene alternatives: full comparison in 2026
  9. 13 RAG chunking strategies for better retrieval
  10. Meilisearch vs. Manticore: Use cases, features, pricing, & more
  11. RAG for medical data: improving healthcare AI accuracy
  12. What is context distillation in AI & how does it improve LLM efficiency?
  13. Query rewriting for RAG: how to improve retrieval accuracy
  14. How CarJager runs millions of vehicle searches every month on Meilisearch, with zero DevOps
  15. A practical guide to search relevance metrics and evaluation
  16. RAG guardrails: the foundation of trustworthy AI applications
  17. RAG for structured data: benefits, challenges, examples, & more
  18. RAG reranking explained: better context, better answers
  19. How RAG for customer support improves accuracy at scale
  20. AI-powered workplace search: how it works, benefits, and more
  21. Launch Week wrap-up: everything that shipped in five days, April 2026
  22. Conversational search, out of the box: Meilisearch Chat in Cloud UI
  23. Scale without limits: introducing sharding & replication in Meilisearch Cloud
  24. RAG-as-a-Service: what it is, use cases, providers & more
  25. How Touchless powers instant, scalable vehicle search for large dealer groups
  26. Self-RAG explained: how self-reflective retrieval boosts AI outputs
  27. The Good, the Bad, and the Leaky: jemalloc, bumpalo, and mimalloc in Meilisearch
  28. Roadmap roundup: where Meilisearch is heading
  29. How to build and optimize RAG in AI for reliable answers
  30. How Samtec modernizes product search with Meilisearch
  31. Patching LMDB: how we made Meilisearch’s vector store 3× faster
  32. Search-as-a-Service explained: how it works, providers, and more
  33. Meilisearch March updates
  34. What is an index file and why does it matter in modern computing?
  35. What are specialty search engines and why do they matter?
  36. Proximity search: Improve relevance & deliver smarter results
  37. The challenge isn't connecting to an LLM. It's figuring out what people actually mean.
  38. Powering the generative AI era: how Scenario scales asset discovery with Meilisearch
  39. Designing effective typeahead search for faster, smarter UX
  40. How document indexing works, methods, implementation, & more
  41. Security update: Meilisearch v1.34.1 fixes an SSRF vulnerability
  42. What is text clustering? A complete guide
  43. Meilisearch January updates
  44. How to build a search engine: A complete guide for developers
  45. Knowledge graph vs. vector database for RAG: which is best?
  46. Retrieval-Augmented Generation (RAG) for business: Full guide

2025 113

  1. Typesense pricing in 2026: what it costs and how Meilisearch compares
  2. Typesense review: Choosing between flexibility and simplicity for your search needs
  3. Understanding hybrid search RAG for better AI answers
  4. Elasticsearch pricing: Is it worth the price or consider Meilisearch? October 2025
  5. Naive RAG vs. advanced RAG: What are the differences?
  6. Elasticsearch review 2026: right search platform for you?
  7. I’m a developer who vibe codes – and you should, too
  8. Elasticsearch vs Qdrant vs Meilisearch: which fits your needs?
  9. Retrieve and gain: 3 RAG use cases you can ship today
  10. RAG vs. long-context LLMs: A side-by-side comparison
  11. Elasticsearch vs Pinecone vs Meilisearch: which fits your needs?
  12. RAG indexing: structure and evaluate for grounded LLM answers
  13. Algolia pricing: is it worth the cost in 2026?
  14. Meilisearch October updates
  15. We asked 100+ CTOs how long it takes to implement search. You're not gonna like the answer
  16. Algolia review 2026: features, pricing & best alternative
  17. Semantic search vs. RAG: A side-by-side comparison
  18. Algolia vs Typesense vs Meilisearch: which search engine?
  19. RAG vs. prompt engineering: choosing the right approach for you
  20. Algolia vs Elasticsearch: which search fits your needs?
  21. GraphRAG vs. Vector RAG: side-by-side comparison guide
  22. Meilisearch
  23. Scale with confidence: Introducing resource‑based pricing
  24. Introducing Meilisearch Chat
  25. RAG vs CAG: The smarter choice for your AI stack
  26. How to build RAG applications using Ruby: A developer’s guide
  27. AWS Marketplace
  28. How to build RAG applications on Rails: Step-by-step guide
  29. Meilisearch September updates
  30. RAG evaluation: Metrics, methodologies, best practices & more
  31. Modular RAG: What it is, how it works, architecture & more
  32. What is GraphRAG: Complete guide [2026]
  33. What is agentic RAG? How it works, benefits, challenges & more
  34. RAG to riches: Build a RAG pipeline with Meilisearch
  35. Adaptive RAG explained: What to know in 2026
  36. Speculative RAG: A faster retrieval-augmented generation
  37. Meilisearch August Changelog
  38. Corrective RAG (CRAG): Workflow, implementation, and more
  39. 14 types of RAG (Retrieval-Augmented Generation)
  40. Meilisearch is now SOC2 Type II compliant
  41. Introducing the Meilisearch Enterprise Edition license
  42. Horizontal scaling with sharding and replication
  43. 9 advanced RAG techniques to know & how to implement them [2026]
  44. 10 best RAG tools and platforms: full comparison [2026]
  45. What is RAG (Retrieval-Augmented Generation) & how it works?
  46. What is search relevance: Everything you need to know
  47. On-site search: Definition, implementation, best practices & more
  48. Intranet search engines: What you need to know in 2026
  49. Meilisearch 1.16
  50. Meilisearch July updates
  51. Semantic search vs Vector search: Key differences, uses, & more
  52. Elasticsearch vs Typesense: A definitive comparison [2026]
  53. Most personalized search experiences are a lie
  54. RAG with Meilisearch: Mastering hybrid search for LLMs
  55. What is vector search? Complete guide [2026]
  56. Personalized search: Deliver ultra-relevant results that convert
  57. How do you search in a database with LLMs?
  58. Multimodal RAG: A simple guide
  59. LlamaIndex RAG tutorial: step-by-step implementation
  60. Meilisearch June updates
  61. Fine-tuning vs RAG: Choosing the right approach
  62. How to implement search in Firebase
  63. How to Build a RAG Pipeline: A Step-by-Step Guide
  64. Why traditional hybrid search falls short (how we fixed it)
  65. Full tutorial on how to design a search engine with Ruby on Rails
  66. Building a search engine in Golang: a comprehensive guide
  67. How to add search to your Gatsby site: Step-by-step guide
  68. Meilisearch 1.15
  69. How to build a search engine in PHP: Step-by-step guide
  70. Meilisearch May Updates
  71. Building a JavaScript search engine: Tutorial, examples & more
  72. How to make a search engine in Python: Step-by-step tutorial
  73. How to build a search engine in React: step-by-step tutorial
  74. Marketplace search engine: How to make one, top tools, & more
  75. Searchable knowledge base: How to make one, top tools & more
  76. How we're making AI work at Meilisearch
  77. Meilisearch April Updates
  78. Top 10 Doofinder alternatives in 2026 [With real user reviews]
  79. 10 of the best Azure AI search alternatives in 2026
  80. Why you shouldn't use vector databases for RAG
  81. Internal search: the key to better user experience and SEO
  82. What is full-text search and how does it work?
  83. What is federated search: Complete guide [2026]
  84. AI-powered search: What you need to know [2026]
  85. The 10 best AI enterprise search tools and platforms [2026]
  86. Meilisearch 1.14
  87. Top 10 Elasticsearch alternatives and competitors in 2026
  88. Intelligent search: the future of finding relevant results
  89. Meilisearch March Updates
  90. 10 Best Typesense alternatives: Full comparison [2026]
  91. Similarity search: a guide to vector-based retrieval
  92. Meilisearch AI launch week recap: transforming search with AI and personalization
  93. Meilisearch
  94. Building the future of search with Meilisearch AI
  95. How Rayon leverages AI semantic features for a seamless design UX
  96. What are vector embeddings? A complete guide [2026]
  97. How to choose the best embedding model for semantic search [2026]
  98. What is a vector database? What you need to know [2026]
  99. AI-Powered discovery: how MotionElements elevates creators
  100. Hybrid search: definition, how it works, benefits and more
  101. Neural search: Definition, how it works, benefits and more
  102. What is semantic search? How it works, use cases & more
  103. The top 10 Algolia alternatives in 2026
  104. Introducing Meilisearch's new indexer: 4x Faster Updates
  105. What is latent semantic indexing (LSI) and how does it work?
  106. How we made Meilisearch talk to AI: introducing our MCP server
  107. Meilisearch 1.13
  108. Meilisearch January Updates
  109. Enterprise search: a comprehensive guide
  110. How to cache semantic search: a complete guide
  111. How to build a RAG system (with Meilisearch)
  112. How personalization and recommendations enhance search and discovery
  113. Meilisearch December Updates

2024 34

  1. Meilisearch 1.12
  2. Fuzzy search: a comprehensive guide to implementation [2026]
  3. Meilisearch November Updates
  4. Software engineering predictive search: a complete guide
  5. 7x faster embeddings with binary quantization
  6. Meilisearch Q4 2024 release wrap-up
  7. Meilisearch October updates
  8. TutKit's journey with Meilisearch: powering multilingual learning at scale.
  9. Meilisearch 1.11
  10. Meilisearch powers the discovery of history for Bildhistoria
  11. Meilisearch September Updates
  12. Searching across multiple languages
  13. How to add AI-powered search to a React app
  14. Meilisearch August Updates
  15. Meilisearch 1.10
  16. Meilisearch is too slow
  17. Build your Next.js Shopify storefront with Blazity
  18. Meilisearch July Updates
  19. Meilisearch vs Algolia
  20. Meilisearch 1.9
  21. Here's what you missed in the latest Meilisearch live event: V1.8, V1.9, new embedders, query suggestions, and more.
  22. Meilisearch April Updates
  23. Meilisearch is a partner of choice for OCTO Technology.
  24. Meilisearch 1.8
  25. Meilisearch March Updates
  26. How Meilisearch updates a database with millions of vector embeddings in under a minute
  27. Full-text search vs vector search
  28. Meilisearch 1.7
  29. Introducing hybrid search: combining full-text and semantic search for optimal balance
  30. Meilisearch February Updates
  31. Cloud monitoring metrics have arrived!
  32. Meilisearch January Updates
  33. Meilisearch vs Typesense
  34. Meilisearch v1.6

2023 7

  1. Meilisearch December Updates
  2. Meilisearch expands search power with Arroy's Filtered Disk ANN
  3. Multithreading and Memory-Mapping: Refining ANN performance with Arroy
  4. Spotify-Inspired: Elevating Meilisearch with Hybrid Search and Rust
  5. Meilisearch November Updates
  6. A complete guide to full-text search with Laravel
  7. Meilisearch v1.5

Undated 116

  1. Search analytics release
  2. Introducing teams
  3. Meilisearch october updates
  4. Nested hierarchical facets guide
  5. V1 4 release
  6. Symfonys solution for documentation search
  7. Meilisearch september updates
  8. Id based facets guide
  9. Filter scoring guide
  10. Hugging face democratizes ai
  11. Documentation crawler release
  12. Tasks view release
  13. Introducing vector search
  14. Hitpay streamlines search
  15. August 23 updates
  16. Document boosting
  17. Bucket sort guide
  18. From ranking to scoring
  19. V1 3 release
  20. Meilistars interview vishal sodani
  21. Promoted search results with react instantsearch
  22. Qogita simplifies b2b trade
  23. Meilistars interview miiton
  24. News july 2023
  25. Indexing optimization guide
  26. Vector search announcement
  27. Role based access guide
  28. Meilistars interview gregory conrad
  29. Organizing a people first offsite
  30. Meilistars interview paul sanders
  31. V1 2 release
  32. Minipouce top grade customer experience
  33. Postgres full text search limitations
  34. Meilistar interview markus machatschek
  35. Dynamic virtual address management
  36. Meilisearch cloud general availability
  37. Bookshop increases search based purchases
  38. Advice on answering interview questions about values
  39. Introducing multi search
  40. Whats new in v1 1
  41. Meilisearch vs elasticsearch
  42. Nuxt ecommerce search guide
  43. Meilistar interview minoru osuka
  44. Whats new in v0 9
  45. Prose linting with vale
  46. Balancing business technology and user experience
  47. Remote work is the future of work
  48. Planning v1 and beyond
  49. V1 enterprise ready stable
  50. Whats new in v1 0
  51. Best practices for faster indexing
  52. Meilisearch in 2022
  53. How meilisearch became open source a retrospective
  54. Update meilisearch digitalocean aws gcp
  55. Zero downtime index deployment
  56. Pagination vs infinite scroll vs load more
  57. From slack to discord our migration
  58. Whats new in v0 30
  59. Hacktoberfest 2022 recap
  60. Instant search react app
  61. Meilisearch series a
  62. Improving meilisearchs language support
  63. Our approach to salaries
  64. Hacktoberfest 2022 mid october update
  65. Hacktoberfest stories from contributor to manager
  66. Matching strategy
  67. Whats new in v0 29
  68. Contribute hacktoberfest 2022
  69. How to integrate an extremely fast and relevant search into your rails app using meilisearch and react
  70. How meilisearch built upon 42 collaborative approach
  71. Whats new in v0 28
  72. Offsite 2022 ibiza
  73. Typo tolerance
  74. Whats new in v0 27
  75. How open source drives our strategy
  76. Strapi v4 plugin meilisearch
  77. The history of meilisearch cloud
  78. Multi tenancy
  79. Our first steps to support the mental health of our team members
  80. Add a search bar to your gatsby project using meilisearch
  81. Whats new in v0 26
  82. Kicking off knowledge management at meilisearch
  83. Meilisearch raised 5meu seed fundraising
  84. Whats new in v0 25
  85. How we create space for casual conversation within our remote team
  86. Hacktoberfest 2021 recap
  87. Cfp recommendations
  88. Whats new in v0 24
  89. How we implemented the 4 day work week
  90. Hacktoberfest 2021 update
  91. Whats new in v0 23
  92. Contribute hacktoberfest 2021
  93. The art of sorting
  94. Whats new in v0 22
  95. Whats new in v0 21
  96. Refactoring meilisearch
  97. Automate pull requests with bors
  98. Slack history
  99. Demo moma
  100. Whats new in v0 18
  101. Meili fundraise
  102. Whats new in v0 13
  103. Value in open 1 posthog
  104. Whats new in v0 11
  105. Meilisearch values v0 1 tech is political
  106. Meilisearch open business plan v0 1
  107. How to integrate a relevant search bar to your documentation
  108. Meilisearch in production taking it to the next level
  109. Meilisearch finds rubygems
  110. To open source and beyond
  111. Meilisearch beta release
  112. Search rust crates meili
  113. Spo2 the little dynamic monitoring tool
  114. Open source or not
  115. Meilies release
  116. Start