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  3. Weaviate - open-source Vector Database for AI long-term memory and local data — alternative to Pinecone

Weaviate - open-source Vector Database for AI long-term memory and local data — alternative to Pinecone

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    • marcusquinnM Offline
      marcusquinnM Offline
      marcusquinn
      wrote on last edited by marcusquinn
      #1
      • https://weaviate.io
      • https://github.com/weaviate/weaviate
      • https://weaviate.io/developers/weaviate/quickstart
      • https://weaviate.io/developers/weaviate/installation/docker-compose
      • https://newsletter.weaviate.io
      • https://twitter.com/weaviate_io
      • https://weaviate.io/blog/why-is-vector-search-so-fast
      • https://console.weaviate.io/console/query#weaviate_uri=https://demo.dataset.playground.semi.technology&graphql_query={ Get { Publication( nearText%3A { concepts%3A ["fashion"] } limit%3A 1 ) { name _additional { certainty distance vector } } } }

      Weaviate is an open-source vector database.
      It allows you to store data objects and vector embeddings from your favourite ML-models,
      and scale seamlessly into billions of data objects.

      With Weaviate, you can turn your text, images and more into a searchable vector database using state-of-the-art ML models.

      Vector Search
      Whether you bring your own vectors or use one of the vectorisation modules, you can index billions of data objects to search through.

      Hybrid Search
      Combine multiple search techniques, such as keyword-based and vector search, to provide state-of-the-art search experiences.

      Generative Search
      Improve your search results by piping them through LLM models like GPT-3 to create next-gen search experiences.

      398de88a-be63-43a1-af5e-43cca2db9196-image.png

      ff839f36-1dcf-440a-8b10-8a084978f685-image.png

      IMHO this is an essential app for AI application building. Pinecone has the mindshare at the moment, but this does the same thing and self-hosed open-source.

      You'd use it with any GPT/LLM and LangChain to built AI apps with long-term memory and interrogate local documents and data that stay local — which is how you build things that can build and self-improve beyond the current 8k token limits of GPT-4.

      I can also see this becoming an option to "chat to your Nextcloud data" etc.

      Web Design https://www.evergreen.je
      Development https://brandlight.org
      Life https://marcusquinn.com

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      • marcusquinnM marcusquinn referenced this topic on
      • jordanurbsJ Offline
        jordanurbsJ Offline
        jordanurbs
        wrote last edited by
        #2

        +1 would love a vector store app on cloudron!

        robiR 1 Reply Last reply
        0
        • jordanurbsJ jordanurbs

          +1 would love a vector store app on cloudron!

          robiR Offline
          robiR Offline
          robi
          wrote last edited by
          #3

          @jordanurbs there is one already hidden in Postgres. pgvector is installed and enabled by default.

          Just use it.

          Conscious tech

          firmansiF 1 Reply Last reply
          1
          • robiR robi

            @jordanurbs there is one already hidden in Postgres. pgvector is installed and enabled by default.

            Just use it.

            firmansiF Offline
            firmansiF Offline
            firmansi
            wrote last edited by
            #4

            @robi How to use it in Cloudron?

            robiR 1 Reply Last reply
            0
            • firmansiF firmansi

              @robi How to use it in Cloudron?

              robiR Offline
              robiR Offline
              robi
              wrote last edited by
              #5

              @firmansi You can install the LAMP app to experiment and just push the DB button at the top of the terminal to paste the connection command and you're in the db.

              For anything else specific look at the pgvector docs from PG.

              Conscious tech

              jordanurbsJ 1 Reply Last reply
              1
              • robiR robi

                @firmansi You can install the LAMP app to experiment and just push the DB button at the top of the terminal to paste the connection command and you're in the db.

                For anything else specific look at the pgvector docs from PG.

                jordanurbsJ Offline
                jordanurbsJ Offline
                jordanurbs
                wrote last edited by
                #6

                @robi Fire, thanks for the tip!

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