Graph RAG using @neo4j GraphRAG is a technique that enhances RAG with knowledge graphs. Using Neo4J, we can easily create these graphs, and enabling structured and semi-structured information into the retrieval process.
CODE
-
Flowise v2.2.3 Release: Neo4j Graph RAG and Enhanced AI
By
–
They say you shouldn't push a new release right before the holidays…
— FlowiseAI (@FlowiseAI) 23 décembre 2024
So, here we go – v2.2.3 of Flowise 🎅
📈 Graph RAG using Neo4J
🗣️ Groq Whisper, Azure Cognitive Speech to Text
⚡ Composio Tools
💬 Deepseek Chat
📚 Epub document source
🧵 pic.twitter.com/CotlmHvsdIThey say you shouldn't push a new release right before the holidays… So, here we go – v2.2.3 of Flowise Graph RAG using Neo4J Groq Whisper, Azure Cognitive Speech to Text Composio Tools Deepseek Chat Epub document source
-

Training AI Models with Preference Pair Selection Methods
By
–
Dataset: Create preference pairs by selecting a chosen response from the positive set and a negative response from the negative set, which is used to train the model on relative preferences
-
Linear and Logistic Regression Methods in Data Science
By
–
#infographics by @rfeers Simple Linear Regression
Multiple-Variable Linear Regression
Simple Logistic Regression
Logistic Regression with Multiple Classes
————
#Statistics #DataScience #Mathematics #DataScientist #Algorithms #Analytics -

Simple Python Code Snippets for Data Cleaning and Preparation
By
–
Simple Yet Practical Data Cleaning #Python Code Snippets to fix common scenarios of messy data: http://
bit.ly/3hpthSD #DataCleaning Cookbook — Prepare your data for analysis with PANDAS, NumPy, Matplotlib, scikit-learn, etc.: http://
amzn.to/4c6DAWf
——
#DataScience #AI #ML -

50 Days of Data Analysis with Python for Beginners
By
–
See this fun book! >> 50 Days of Data Analysis with #Python — Ultimate Book of Challenges for Beginners, with Hands-on Challenges using PANDAS, NumPy, Matplotlib, Sklearn and Seaborn: http://
amzn.to/3uQfgrR by @RealBenjizo —————
#DataScience #ML #DataViz #DataScientist #Coding -

Algorithmic Trading with Python: Modern Quant Methods and Free Code
By
–
The book “#AlgorithmicTrading with Python” discusses modern quant trading methods in #Python with a heavy focus on PANDAS, Numpy, and scikit-learn: http://
amzn.to/3uvYlKk by @__chrisconlan__ Get free code from the book here: https://
github.com/chrisconlan/al
gorithmic-trading-with-python
… -
Fine-tuning LLMs, Multi-GPU Inference and LoRA Serving Solutions
By
–
loads, fine-tune LLMs, multi-GPU inference, serving multiple LoRAs, evaluate LLMs on your tasks and more.
-
Warp Terminal Update Frequency Issues and Developer Experience
By
–
bruh, how many times does @warpdotdev roll out an update? Every time I open the fkn terminal it asks me to `Update Warp`
-
Dynamic Select Developer Trick Efficient Deletion Workflow
By
–
#ACEtricks: Things change. Sometimes you need to delete stuff. Arthur Ladwein shares hisACE Trick on how to do it efficiently and consistently to save massive time and effort.
— Alteryx (@alteryx) 23 décembre 2024
Watch below for Arthur’s ACE Trick on using DYNAMIC SELECT from the Developer Palette of tools. pic.twitter.com/6LYfAcR2YM#ACEtricks: Things change. Sometimes you need to delete stuff. Arthur Ladwein shares hisACE Trick on how to do it efficiently and consistently to save massive time and effort. Watch below for Arthur’s ACE Trick on using DYNAMIC SELECT from the Developer Palette of tools.
