xatkit
elasticsearch-mapper-attachments
xatkit | elasticsearch-mapper-attachments | |
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16 | 102 | |
174 | 503 | |
1.1% | - | |
3.1 | 0.0 | |
about 1 month ago | 11 months ago | |
Java | ||
Eclipse Public License 2.0 | Apache License 2.0 |
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.
xatkit
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The full tech stack to run a chatbot — behind the scenes of an open source bot platform
While we wait for these tools to pop up, any tech question on the internals of Xatkit you'd like to know? And if you want to read more about the technologies we have listed above, this twitter thread gives some pointers to good tutorials for them:
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How to build your own chatbot NLP engine
(obviously) Create your own chatbots (pairing it up with Xatkit or any other chatbot platform for all the front-end and behaviour processing components)
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How to program a chatbot that reads all your website and answers questions based on its content
The easiest part is to create the chatbot. We'll obviously use Xatkit for this. The bot can have as many intents as you wish. The only part that we care about here is the default fallback state. Here, instead of saying something useless, e.g. "sorry I didn't get your question, can you rephrase it and try again?", we will ask Haystack to find us a solution.
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On premises chatbot
Take a look at Xatkit (https://github.com/xatkit-bot-platform/xatkit). It's an open source chatbot development platform and very easy to deploy on your own premises as the bot is compiled into a single .jar.
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Chatbots for freelancers or small business
But, IMHO, many business owners do not really want to create a bot by themselves, no matter how easy is the chatbot development interface. They want to give you the data (whatever type of data they already have, e.g. an excel file with collected questions) and get a bot out of it. This is way at Xatkit we're now providing this type of "chatbot automatic generation services"
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Choosing Java as your language for a Machine Learning project - Are we crazy???
There are ML libraries available for every language. So there is always a way to execute/train your neural networks outside the python world. For instance, in Xatkit, we reuse Stanfords' Core NLP models in some of our language processors. And, if needed, there is always the option to wrap the ML models code in a Python server (I like the simplicity of Flask for this) and consume them via API calls to this server.
- Show HN: Chatbots generated from your eCommerce data
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Feedback on our new product and website "Chatbots for e-commerce"
We have recently launched Xatkit, a pretrained chatbot for eCommerce. The reception so far has been lukewarm and we wonder whether:
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(Beta testers needed) Xatkit - pretrained expert eCommerce bots to sell more doing less
Interested to give it a try? For FREE during the next two months? Visit: https://xatkit.com/ (and pls redistribute to your colleagues if you know anybody that could be interested, thanks!)
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Beyond no-code: no-learn and no-work development
But this doesn't mean your no-code tool needs to stick to one specific category. As we do in Xatkit, you can offer different interfaces/importers on top of the same engine. You can even offer a low-code version for advanced users willing to use your tool's API to complement the result of the no-code approach.
elasticsearch-mapper-attachments
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Hajmo napravit KB i pomoć drugima
Elasticsearch - www.elastic.co/
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What is the Role of AI in DevOps?
The increasing complexity of modern systems led to the rise of AIOps (Artificial Intelligence for IT Operations) and observability practices. AIOps leveraged machine learning algorithms to automate problem detection, analysis, and resolution. Observability focused on gaining insights into system behaviour through metrics, logs, and traces. As a result, tools like Prometheus, Grafana, and ELK stack (Elasticsearch, Logstash, Kibana) gained popularity.
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Are there any good solutions for analyzing firewall logs to generate analytics/reports?
My only experience with NetFlow collection is on my home firewall/router running pfSense Community Edition, which is free to download and can be installed on a wide assortment of X86 hardware. I installed the Softflowd package, which exports NetFlow data to a dedicated Elasticsearch/Logstash/Kibana (ELK) server on my LAN. I believe Security Onion and ElastiFlow also can be NetFlow collectors.
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DevOps and Security: DevSecOps
Elasticsearch, Logstash, and Kibana (ELK) Stack: An open source suite of tools for log management and analysis, providing real-time insights into security events.
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[For Hire] Senior Developer with 14 years experience. Canadian expat in a low cost of living country | From 500 EUR per project/month
Recently I have taken an interest in big data. https://neo4j.com/ , https://cassandra.apache.org/ , https://clickhouse.com/, https://www.elastic.co/ - are all databases I have experience with. Neo4j and Cassandra only as a hobby, but Clickhouse I have used in production, and Elasticsearch I have used for some 7 years now.
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Traffic logging at home without router
Buy an enterprise-class, wired router like the Negate 2100 ($349 USD), which runs pfSense, and configure the Deco AXE5400 device(s) to operate in Access Point Mode. Then install the Softflowd package through the pfSense web UI. Softflowd will collect and export NetFlow data to a NefFlow collector, which is the separate computer/VM/container referred to above, running software like Security Onion, ElastiFlow, or Elasticsearch/Logstash/Kibana (ELK).
- Never choose elastic cloud solution
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How can I improve the search function of WordPress?
If you’re unaware, elastic search is some like enterprise level search shit. They just put it in a theme. https://www.elastic.co
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Wazuh GUI not response: site can’t be reached
systemctl status kibana ● kibana.service - Kibana Loaded: loaded (/etc/systemd/system/kibana.service; enabled; vendor preset: enabled) Active: active (running) since Tue 2023-03-28 09:40:05 UTC; 33min ago Docs: https://www.elastic.co Main PID: 3168 (node) Tasks: 11 (limit: 9432) Memory: 303.3M CPU: 35.190s CGroup: /system.slice/kibana.service └─3168 /usr/share/kibana/bin/../node/bin/node /usr/share/kibana/bin/../src/cli/dist --logging.dest=/var/log/kibana/kibana.log --pid.file=/run/kibana/kibana.pid "--deprecation.skip_deprecated_settings[0]=logging.dest" Mar 28 09:40:05 wazuh systemd[1]: Started Kibana.
- Course for Elastic Stack System Administration
What are some alternatives?
rasa - 💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
MISP - MISP (core software) - Open Source Threat Intelligence and Sharing Platform
GerVADER - GerVADER - A German adaptation of the VADER sentiment analysis tool for social media texts
BookStack - A platform to create documentation/wiki content built with PHP & Laravel
WooCommerce - A customizable, open-source ecommerce platform built on WordPress. Build any commerce solution you can imagine.
rust-rocksdb - rust wrapper for rocksdb
Foundation - The most advanced responsive front-end framework in the world. Quickly create prototypes and production code for sites that work on any kind of device.
intelmq - IntelMQ is a solution for IT security teams for collecting and processing security feeds using a message queuing protocol.
sagan - The spring.io site and reference application
CyberChef - The Cyber Swiss Army Knife - a web app for encryption, encoding, compression and data analysis
BombPartyBot - A bot for JKLM bomb party
Ehcache - Ehcache 3.x line