Excellent. Concise! And no super hyped language.

What features of fastapi are not available in fasthtml? What caused you to want to combine these technologies?

Great video!! Thank you for taking the time! My confusion is…How would I create a multi agent graph where the initial agent asks the user a few questions to determine intent -> based on that it determines what agent to send the user to - this 2nd agent has its own LLM prompt logic -> when this 2nd agent requires feedback from the user … does it communicate with the user directly ? Or does the initial agent only communicate with the user That is where I’m really confused - any guidance would be great! Thank you again!!

How much VRAM and RAM do you think it takes to run the 70b model at minimum?

Danke

Great explanation, thank you!

Oh man, really I'm just got masterpiece today. I'm searching for long time for sure and finally here it's . One request. please make video on advance rag using LangGraph

What is your email for business?

THE best OOP Python course, periodddddd.

Great video indeed, thanks :) I wonder if it is possible to show how to build edit task route/functionality?

I appreciate the code you uploaded on GitHub, I'm going to give this a "spin" later Today, Awesome & THX :::

Could you also create sample code for instances where multiple documents are stored in a directory in either .txt or a compressed format like Parquet? How would it work then? Would you transform each document separately and combine them as a graph? Would like to get your insight. Thank you for the video!

Has any tried this code for a large amounts of documents? How does it scale?

Please make a playlist for FastHTML

Where is the app state saved? In the python process or in the browser?

Jinja with battery))

Its simple. I love simple.

Does this need an open ai key ? i have zero in my account

Im thinking that wats going on in native html and css is signal that we should stop thinking of using framwworks and use simplest standard.. Im not sure about using JS as it is standard, but we knew from the beggining its shitty- maybe using it only for dom and initialization would be good but there is Rust which is good language- I was sceptical for very long because we are trying to create new C that is not C for years, but I have to agree thats better And you can compile Rust to wasm use ComponentModel and there is no js required to run Rust Componentmoddlor switch to

Awesome video. Can you please tell me about your audio setup or the microphone that you use for your videos?. Thank you and looking forward to hearing from you

Hello, please VS Flask ?

This is what the GOTH stack is all about, but now the python gang is here 🎉

Very informative content. Thank you so much for sharing.

Hooked? Learn design principles/patterns for FastHTML here: kzfaq.info/get/bejne/nreHdsib0c_Sepc.html

PHPython 🤣

I am using flask for my projects at the moment, if this fasthtml delivers on it’s promise, it would be great…😊

for entity in entities.names: response = graph.query( """CALL db.index.fulltext.queryNodes('entity', $query, {limit:2}) YIELD node,score CALL { WITH node MATCH (node)-[r:!MENTIONS]->(neighbor) RETURN node.id + ' - ' + type(r) + ' -> ' + neighbor.id AS output UNION ALL WITH node MATCH (node)<-[r:!MENTIONS]-(neighbor) RETURN neighbor.id + ' - ' + type(r) + ' -> ' + node.id AS output } RETURN output LIMIT 50 """, {"query": generate_full_text_query(entity)}, ) result += " ".join([el['output'] for el in response]) __ I'm getting the error because I don't have an index called entity, but I'm curious if anyone else is getting it.

Thank u for great video. Is it possible to still use ollama via langchain? I got a error when i use "if llmtype=="olllama" -- error message : Received unsupported message type for Ollama. (my_path) : LangChainDeprecationWarning: The method `BaseChatModel.__call__` was deprecated in langchain-core 0.1.7 and will be removed in 0.3.0. Use invoke instead. warn_deprecated(

Running this error over and over in the "graph_documents = llm_transformer.convert_to_graph_documents(documents)" cell: 731 parsed_json = self.json_repair.loads(raw_schema) 732 for rel in parsed_json: 733 # Nodes need to be deduplicated using a set --> 734 nodes_set.add((rel["head"], rel["head_type"])) 735 nodes_set.add((rel["tail"], rel["tail_type"])) 737 source_node = Node(id=rel["head"], type=rel["head_type"]) TypeError: string indices must be integers

Hii, amazing content as usual man, i am trying to implement this noe4j graph on my pc after downloading your code, i went to neo4jaura and downloaded a .txt file containing the database credentials but whenever i try it from your code i get this error message below, please help " Could not connect to Neo4j database. Please ensure that the url is correct" it is exactly the same thing i downloaded from their website

But why？

Could you make an updated version with LCEL especially how to implement memory

Love streamlit it makes coding really easy and fun with its context managers... Hope similar concepts are available in FH too.

Do a video comparing moderns python web frameworks; reflex, fasthtml, robot, flet, streamlit, nicegui, etc.

Is this really an RDF Knowledge Grap, or just a Neo4J property graph. That doesn't look like a SPARQL query in your code.

This was EXACTLY what I've been looking for. Thank you for the great walkthrough, you just got yourself a new subscriber. Cheers

This is amazing, started to learn python, but already known the front end very well. I will definitely be playing around with this.

helpful thanks!

awesome course mate, really enjoying it. Adding sections on using PostGreSQL, PGVector would be super useful as most are used to use simpler hosted solutions. Btw I'm making an update to your semantic chunker ha!

At 3:30 the example is a bit misleading, as it's not "is one of the two numbers larger than 1?". The | operator is a bitwise OR, e.g. 1|2>2 is true (because 01|11=11=3) even when both numbers individually aren't. Great content though!

Cool 🤙

As far as I see pydantic kind of kills the __init__ method. When I define classes I do not need to use anymore the __init__ method but the pytdantic attributes. Is it correct?

thanks for your approach, are you thinking to create course about?

thanks for your content, got a question, do you thinks to create a whole course for fasthtml on udemy?

look like llama cant generate low resource language like Vietnamese

Thank you for this video, I have been looking for a way to use local graphrag until I see this. Thank you so much. But I encountered an issue while using the neo4j browser. It keeps saying "Cannot load from URL 'file:///import/test_container.csv': Couldn't load the external resource at: file:///import/test_container.csv ()" I have tried all means to resolve this issue but the error keep persisting. Please I need your help.

Smart video ! It could be a good way to access easily relationships between stakeholders in any kind of business.

Cool. Thank a lot