Patch note https://
github.com/FlowiseAI/Flow
ise/releases/tag/flowise1.4.3
… Thanks to all contributors
CODE
-
Flowise 1.4.3 Patch Release: Updates and Improvements
By
–
-
MongoDB Atlas Vector Store Integration with Flowise Now Available
By
–
MongoDB Atlas @MongoDB Atlas Vector Store and Memory are both supported on Flowise!
-
Vectara QA Chain avec résumé et citations multilingues
By
–
📄 Vectara QA Chain
— FlowiseAI (@FlowiseAI) 24 novembre 2023
Inspired by Vectara-Answer github repo, we worked with @ofermend to create a custom Vectara QA Chain with
✅Built-in summarization
✅Citations
✅Ability to switch between languages pic.twitter.com/nc48flblUNVectara QA Chain Inspired by Vectara-Answer github repo, we worked with @ofermend to create a custom Vectara QA Chain with Built-in summarization
Citations
Ability to switch between languages -
Langfuse Enables User Tracing for Chatbot Interactions
By
–
🧑🤝🧑 Langfuse User Tracing
— FlowiseAI (@FlowiseAI) 24 novembre 2023
Users that are interacting with the chatbot can now be traced via @langfuse userid tracing capability. pic.twitter.com/RAtJouOODuLangfuse User Tracing Users that are interacting with the chatbot can now be traced via @langfuse userid tracing capability.
-
Moderation Nodes Prevent Harmful Content in LLM Systems
By
–
Moderation To prevent harmful content being passed to LLM, we have added Moderation nodes. Input will be checked against violation rules, and an error message will be shown accordingly.
-
Flowise v1.4.3 Release: New APIs, Claude 2.1 and MongoDB Support
By
–
Friday release time
Flowise v1.4.3 freshly baked with: Upsert API Moderation Claude 2.1 support Langfuse User Tracing Vectara QA Chain MongoDB Atlas Chatflow UI/UX -
New Upsert API for Vector Embeddings Management
By
–
Upsert API We now expose a new endpoint for upserting vector embeddings:
/api/v1/vector/upsert Previously, a slight change on the flow causes everything to be upserted again. With this change, users have more control on when/how to upsert. -
LLM Fine-Tuning: Deep Dive Video Tutorial
By
–
Dive into LLM fine-tuning in my recent video: https://
youtu.be/7mOD9kgqRf0 -
Fine-tuning and RAG: Improving AI Reliability and Reducing Hallucinations
By
–
Fine-tuning helps but isn't a cure-all for AI issues, such as occasional 'hallucinations'. It improves knowledge robustness, and combining it with methods like Retrieval Augmented Generation (RAG) can increase the accuracy and reliability of your models.
-
Free Linear Algebra for Machine Learning with Python Guide
By
–
Free introduction to Linear Algebra for Machine Learning with Python. Very specific to what you need. Nothing more, and nothing less. One of the best guides you'll find online. https://
pabloinsente.github.io/intro-linear-a
lgebra
…