MmFLaNK
ai
MmFLaNK | ai | |
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1 | 17 | |
6 | 7,812 | |
- | 5.8% | |
0.0 | 9.8 | |
almost 3 years ago | about 18 hours ago | |
Java | TypeScript | |
Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
MmFLaNK
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FLaNK Stack Weekly on 26 June 2023
In this interactive session, Tim will lead participants through how to best build streaming data pipelines. He will cover how to build applications from some common use cases and highlight tips, tricks, best practices and patterns. He will show how to build the easy way and then dive deep into the underlying open source technologies including Apache NiFi, Apache Flink, Apache Kafka and Apache Iceberg. If you wish to follow along, please download open source projects beforehand. You can also download this helpful streaming platform: https://docs.cloudera.com/csp-ce/latest/installation/topics/csp-ce-installing-ce.html All source code and slides will be shared for those interested in building their own FLaNK Apps. https://www.flankstack.dev/
ai
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Building a SQL Expert Bot: A Step-by-Step Guide with Vercel AI SDK and OpenAI API
The Vercel AI SDK is built for OpenAI APIs and includes a range of tools for utilizing OpenAI APIs.
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AI SDK 3.0: Stream React Components from LLMs to deliver richer user experiences
The AI is calling a function (https://platform.openai.com/docs/guides/function-calling) that is mapped to developer-controlled logic. The easiest thing to do is render specific UIs for every function call, but you can render however you'd like.
We kept the code snippets in the blog post brief, but you can see the full code for the demo here: https://github.com/vercel/ai/tree/main/examples/next-ai-rsc
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Create Your Own Local Chatbot with Next.js, Ollama, and ModelFusion
In this blog post, we'll build a Next.js chatbot that runs on your computer. We'll use Ollama to serve the OpenHermes 2.5 Mistral LLM (large language model) locally, the Vercel AI SDK to handle stream forwarding and rendering, and ModelFusion to integrate Ollama with the Vercel AI SDK. The chatbot will be able to generate responses to user messages in real-time.
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Best way to expand the Next-Langchain starter?
I recently set up the Next-Langchain-starter from Vercel, and it is phenomenal: Easy to setup, easy to modify. So far I've only done a few modifications:
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Fine-Tuning Vercel AI SDK
Vercel AI SDK Playground Documentation
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[P] MLOps for Vercel OpenAI chatbot infrastructure
I used infrastructure as code (IaC) to provision and deploy Vercel's next-openai example. IaC is useful because it applies the same rigor of application code development to infrastructure provisioning. Instead of manual point and click in a cloud console which can be unrepeatable or error-prone, you just store and change all infrastructure configurations as code in source control .
- The Vercel AI SDK: Build Streaming AI Apps with React, Svelte, Solid, and Vue
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How to build and deploy an AI Chatbot like ChatGPT without a credit card
You can use LLM providers other than hugging face such as Anthropic, Langchain adn OpenAI as well. Follow this doc to change the route handler(/api/chat/route.ts) and refer to the section of your chosen LLM provider.
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The New Vercel AI SDK: Your Own Chatbot in a Flash
**References: If you got stuck anywhere feel free to reach out. The Vercel documentation is excellent and the Github repo is also easily clonable if you don't have time to code from the start and just want to get stuck in customising.
- FLaNK Stack Weekly on 26 June 2023
What are some alternatives?
flume-to-nifi - Examples for Apache Flume to Apache NiFi
ai-chatbot - A full-featured, hackable Next.js AI chatbot built by Vercel
flink-cdc - Flink CDC is a streaming data integration tool
pygwalker - PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
try - Inspect a command's effects before modifying your live system
stream-processing-with-apache-flink
nitro - Next Generation Server Toolkit. Create web servers with everything you need and deploy them wherever you prefer.
kafkarest-processor - Apache NiFi 1.10.0 Processor to consume 1 Kafka message at a time, easily to tie into a REST Proxy
camel-integration-spring-boot-kafka - Apache Camel Integration with Spring-boot and Kafka with one application serving as a producer and the other consuming the messages
Mailpit - An email and SMTP testing tool with API for developers