Vector storage is coming to Meilisearch to empower search through AI

This page summarizes the projects mentioned and recommended in the original post on dev.to

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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  • MeiliSearch

    A lightning-fast search API that fits effortlessly into your apps, websites, and workflow

    Starting with v1.3, you can use Meilisearch as a vector store. Meilisearch allows you to store vector embeddings alongside your documents conveniently. You will need to create the vector embeddings using your third-party tool of choice (Hugging Face, OpenAI). As we published the first v1.3 release candidate, you can try out vector search today.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • com.openai.unity

    A Non-Official OpenAI Rest Client for Unity (UPM)

    Starting with v1.3, you can use Meilisearch as a vector store. Meilisearch allows you to store vector embeddings alongside your documents conveniently. You will need to create the vector embeddings using your third-party tool of choice (Hugging Face, OpenAI). As we published the first v1.3 release candidate, you can try out vector search today.

  • rubyvideo

    Indexing all Ruby related videos

    similar videos recommendations on a site listing Ruby conferences

  • langchain

    Discontinued ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain] (by hwchase17)

    a documentation chatbot proof of concept using GPT3.5 and LangChain

  • integration-guides

    Central reference for Meilisearch integrations.

    💡 This guide uses curl to make HTTP requests to communicate with Meilisearch. When v1.3 will officially be released, you will be able to use the corresponding SDK methods instead.

  • product

    Public feedback and ideation discussions for Meilisearch product 🔮

    We’re excited to walk our first steps toward semantic search. We can’t wait to hear your thoughts on integrating Meilisearch as a vector store. You can give your feedback in this Github discussion.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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