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Canopy Alternatives
Similar projects and alternatives to canopy
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supabase
The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
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CodeRabbit
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PostgreSQL
Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch
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Redis
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
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MySQL
MySQL Server, the world's most popular open source database, and MySQL Cluster, a real-time, open source transactional database.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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qdrant
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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Milvus
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
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FLiPStackWeekly
FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...
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R2R
The most advanced AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better canopy alternative or higher similarity.
canopy discussion
canopy reviews and mentions
Posts with mentions or reviews of canopy.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-09-03.
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vec2pg: Migrate to pgvector from Pinecone and Qdrant
At launch we support migrating to Postgres from Pinecone and Qdrant. You can vote for additional providers in the issue tracker and we'll reference that when deciding which vendor to support next.
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Removing stuff is never obvious yet often better
Thank you. :) I don’t think of it as social media marketing but more of helping our target audience learn useful things.
Probably our learning center is what you’re thinking of. https://www.pinecone.io … The blog is more of a news ticker for product and company news.
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Top 5 Vector Databases in 2024
Overview: Pinecone offers a fully managed vector database service optimized for fast and scalable similarity searches. It supports various AI and ML applications with its robust infrastructure.
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Can I use GenAI services to predict football results? - My experience during European Football Championship 2024
As a recommended option, Bedrock suggests creating a vector store based on Amazon OpenSearch Serverless. In my opinion, OpenSearch is very expensive, so I wanted to choose a cheaper option. First, I tested MongoDB Atlas, which has a free tier. However, the free tier doesn't include the features needed to use it as a vector store in Bedrock. Since Pinecone offers a free tier that can be used as a Bedrock vector store, I used it for this test.
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Introducing vectorlite: A Fast and Tunable Vector Search Extension for SQLite
With the rise of LLMs(Large Language Models) and RAG(Retrieval-Augmented Generation), vector databases, like Milvus and Pinecone, are getting a lot of attention. Traditional databases are also catching up in vector search support via third-party extensions, such as pgvector for PostgreSQL and sqlite-vss for SQLite.
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Building a Secure PDF Chat AI Application with Langchain, Next.js, arcjet, and Pinecone DB
Interactive chat applications are becoming increasingly popular, especially those capable of understanding and processing document content. In this tutorial, we'll build a secure PDF chat AI application using Langchain, Next.js, Pinecone DB, and Arcjet.com. This application will allow users to upload PDFs and interact with an AI that can answer questions based on the content of the uploaded documents.
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List of 45 databases in the world
Pinecone — Vector database for machine learning and AI applications.
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Build a simple RAG chatbot with LangChain...
To create a PineCone account, sign up via this link: https://www.pinecone.io/
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BMF: Frame extraction acceleration- video similarity search with Pinecone
So you might have seen in my last blog post that I showed you how to accelerate video frame extraction using GPU's and Babit multimedia framework. In this blog we are going to improve upon our video frame extractor and create a video similarity search(Reverse video search) utlizing different RAG(Retrival Augemented Gerneation) concepts with Pinecone, the vector database that will help us build knowledgeable AI. Pinecone is designed to perform vector searches effectively. You'll see throughout this blog how we extrapulate vectors from videos to make our search work like a charm. With Pinecone, you can quickly find items in a dataset that are most similar to a query vector, making it handy for tasks like recommendation engines, similar item search, or even detecting duplicate content. It's particularly well-suited for machine learning applications where you deal with high-dimensional data and need fast, accurate similarity search capabilities. Reverse video search works like reverse image search but uses a video to find other videos that are alike. Essentially, you use a video to look for matching ones. While handling videos is generally more complex and the accuracy might not be as good as with other models, the use of AI for video tasks is growing. Reverse video search is really good at finding videos that are connected and can make other video applications better. So why would you want to create a video similarity search app?
- FLaNK AI Weekly for 29 April 2024
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A note from our sponsor - CodeRabbit
coderabbit.ai | 24 Mar 2025
Stats
Basic canopy repo stats
23
975
7.5
4 months ago
pinecone-io/canopy is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of canopy is Python.
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