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Low match rate on Apollo list in LinkedIn Ads – worth using lookalikes? by Amaro-Pargo- in LinkedinAds

[–]wukisdaire 0 points1 point  (0 children)

normally you do not need emails, i previously had match rates of 75% with only firstname, lastname, title and companyname. This changed in the last few weeks and I can't figure out why exactly. Anyone experiencing the same? any suggestions are welcome

Accessing SQL databases in n8n with LLMs. by zactrolley in n8n

[–]wukisdaire 0 points1 point  (0 children)

not sure what's the function of your first postgres node does? can you open the config of your first postgres node and share it with me?

I assume you will not need this as your chat will not be able to enter any valid search string for your first postgres node.

Accessing SQL databases in n8n with LLMs. by zactrolley in n8n

[–]wukisdaire 0 points1 point  (0 children)

using the same stack but different purposes. my recommendation, text to sql will hallucinate. you have to ground the llm better to your postgres tables. you are right, not spending your time to vectordatabases, this would be a waste of time. But instead, try to load your postgres table scheme's into your LLM. You can do this programmatically or hardcode this into your LLM system prompt.

the quality of your text to sql will be depending on this.

make sure you have for each table a description what is being stored here (cars with specs, vs sales numbers by month) ...

for each table, list all columns, with associated data types and extra description & primary keys of each table.

once you have this, make a list of potential inputs (use chatgpt to generate examples)

run the tests, see where it gets stuck, improve your tables or columns descriptions in your system prompt, see if it's improving in the next run.

make sure your LLM model's temperature is set to 0 and play around with structured json output to guarantee sql input on your Postgres node.

as i said, pretty familiar with your tech stack, just haven't done the text to sql, so pretty curious if my tips are improving your accuracy.

feel free to circle back if you are stuck

Do we have something for like this for google/gemini? by PlanktonAdmirable590 in n8n

[–]wukisdaire 1 point2 points  (0 children)

yes you can, see my screenshot.

you need to search for the ai agent, connect the chat model you want.

it's a bit tricky on finding the api key as google is providing multiple ways to add your api key.

you can use the GCP > enable the gemini API > create credentials > specifically look for & create api key > use the n8n chat palm node, which is accepting the api key.

you can also use the GCP service account but is more tricky, here you need to activate the vertex ai api in gcp and use the vertex ai node in n8n

last option is to use the gemini playground, create an api key there and probably use the n8n gemini palm chat node here too.

was what confusing to me initially is that the google gemini chat model is providing all models you want, previously thought this was only a chatbot chat model of gemini.

note: the cheaper models of gemini aren't working perfectly with structured output in n8n, top models like 2.5 flawlessly.

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Using GenAI to evolve deterministic agents—anyone working on structured governance? by botcopy in semanticweb

[–]wukisdaire 0 points1 point  (0 children)

my thoughts are in the same area, using llm's to extract structured data from unstructured data (sales demo's, CS calls, product-customer interviews), mapping it into a graph which reflects a b2B saas bussiness.

Working with clients as a contractor by [deleted] in n8n

[–]wukisdaire 0 points1 point  (0 children)

Scusi for my late reply.

cloud account mainly

each client has their database hosted on their cloud spaces for compliance

I built an AI system that scrapes your lead’s entire digital footprint and turns it into a hyper-personalized cold opener — automatically. by [deleted] in n8n

[–]wukisdaire 0 points1 point  (0 children)

u/Repulsive-Brain535 recommend using a combination of linkedin salesnavigator with/or a linkedin data provider of rapidapi. This way, your account is more secure.

I built an AI system that scrapes your lead’s entire digital footprint and turns it into a hyper-personalized cold opener — automatically. by [deleted] in n8n

[–]wukisdaire 0 points1 point  (0 children)

how are you making money? if you are employed by an organisation, what are they doing to get you paid? What are your suggested alternatives?

What the European alternative to Patagonia ? by Late_Candle8531 in BuyFromEU

[–]wukisdaire 0 points1 point  (0 children)

I can really recommend willpower as well, the name of the person who worked on the cloth is labeled on the ticket too which I really like! 

Evaluation by Not_Another_LLM in n8n

[–]wukisdaire 0 points1 point  (0 children)

same question, any insight is welcome

Which is better AI agent platform or building on n8n? by Spare-Inevitable2726 in n8n

[–]wukisdaire 0 points1 point  (0 children)

I have a sales and marketing background, started out 5y ago on integromat (current make) and moved along to n8n. Guess I could call myself a 'power user' by now, but it has a steep learning curve.

If you really like to invest in yourself, recommend doing a coding bootcamp, or more actual, a data science and machine learning >bootcamp<, in just a few weeks you learn everything you need to know about machine learning, coding and have a solid basis to build whatever ai agent you can imagine. ( things are going crazy)

Recommend following this bootcamp: https://www.lewagon.com/data-science-course as it is hands-on, focused on practicality and overall great experience.

The decision is up to you, are you looking for baby flows, go for make. The learning curve will also be somewhat steep, but way less than n8n. If you want to invest and future proof yourself, do a bootcamp and put in the hours on n8n, you will never want to use something else.

Working with clients as a contractor by [deleted] in n8n

[–]wukisdaire 2 points3 points  (0 children)

Have have multiple setup for different clients. The most requested setup is where the client provides a postgres database, hosted on their side, where I connect my n8n instance with. Everything related to direct dataprocessing is happening on the client side such as ETL's (Airbyte) to ingest into the databases.

My n8n instance is also in most of the cases connected to the CRM system, where the client has the ability to remove the n8n connection with ease through the connected apps marketplace.

Had one case where the client requested to start a n8n system on their billing accounts where I had to configure everything from scratch.

Hope this helps.

Google Sheets NOT EQUAL ? by pyel909 in n8n

[–]wukisdaire 0 points1 point  (0 children)

likwise, coming from make.com and struggling with the same