FalkorDB
neo4j
ArangoDB
Amazon Neptune
RedisGraph
TigerGraph DB
Dgraph
Titan Database
Think Python
Google's Python Class
The New Boston video series
A Byte of Python
Hackr.io
Learn Python The Hard Way
Corey Schafer Youtube
Udacity - CS101
FalkorDB delivers an accurate, multi-tenant RAG solution powered by a low-latency, scalable graph database technology. Our solution is purpose-built for development teams working with complex, interconnected data - whether structured or unstructured - in real-time or interactive user environments.
FalkorDB Think PythonFalkorDB's answer
C, Rust, Next.js
FalkorDB's answer
An ultra-low latency Graph Database
FalkorDB's answer
x100 faster than the leading solutions
FalkorDB's answer
Developers, Architects, Data scientists, CTOs
FalkorDB's answer
An ultra-low latency Graph Database that perfects the Knowledge Graph for KG-RAG. Effectively overcoming the existing limitations of RAG for Large Language Models (LLM).
FalkorDB is the first queryable Property Graph database to use sparse matrices to represent the adjacency matrix in graphs and linear algebra to query the graph.
Based on our record, Think Python should be more popular than FalkorDB. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Use a low-latency graph database: Integrate FalkorDB for its sparse matrix representation and optimized linear algebra-based traversals. Queries execute in millisecondsโcritical for real-time AI interactions. - Source: dev.to / over 1 year ago
In vector databases, data is stored as high-dimensional vector embeddings, which are numerical representations generated by machine learning models to capture the features of data. When querying, the input is converted into a vector embedding, and similarity searches are performed between the query vector and stored embeddings using distance metrics like cosine similarity or Euclidean distance to retrieve the most... - Source: dev.to / over 1 year ago
For AI architects, integrating graph-native storage with LLMs isnโt optionalโitโs imperative for building systems capable of robust, multi-hop reasoning at scale. - Source: dev.to / over 1 year ago
This course actually starts with an introduction to Python. Since you don't have access yet, you can give Think Python a whirl - https://greenteapress.com/wp/think-python/ and for a more interactive experience, I really enjoyed this one - https://scrimba.com/learn/python. Source: over 3 years ago
Start with Think Python or learn x in y..both are free resources and good for basic understanding and practise. Source: over 3 years ago
This free book taught me Python many years ago https://greenteapress.com/wp/think-python/. Source: about 4 years ago
In terms of learning the basics of Python programming, you can get the first edition of Think Python in PDF form for free. Source: over 4 years ago
Computer Science โ For understanding software development. As for a programming language to learn, I recommend Python or Javascript. Try Crash Course's Computer Science videos, the free Think Python book, and/or Part 1 of The Modern JavaScript Tutorial. Source: over 4 years ago
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
Google's Python Class - Assorted educational materials provided by Google.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
The New Boston video series - Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
Amazon Neptune - Amazon Neptune is a fully managed graph database service that works with highly connected datasets. Learn about the benefits and popular use cases.
A Byte of Python - A Byte of Python is a Python programming tutorial and learning book that teaches you how to program with the Python programming language.
