Yes please, need at least 10+ videos series for phidata, so much to explore. Also swarms (not openai) have great multi agents architecture. For web3, I recommend eliza by ai16z.
Nice video, thanks! Have you tried swarm (OpenAI) or pydantic agent before? if yes which one do you prefer compared to PhiData? I am looking for a library to easily create agents, but that it's simple to use, light weight and that is not so cluttered and doesn't obfuscate or over abstract everything like CrewAI and Langchain do.
How can we setup a local RAG which can redact PII information when extracting the data from the PD before creating the chunk, enrich the chunks by using a LLM to create a title, summary, keywords, embeddings and then use PhiData to chat with the document?
![BLACK BAG - Official Trailer [HD] - Only in Theaters March 14](http://i.ytimg.com/vi/Du0Xp8WX_7I/mqdefault.jpg)
So happy to see Phidata here! Thanks a bunch for this! 😊
My favourite agent library!
Nice to see the LLM lord is turning into the agentic side! Good stuff!
Finally took the advice of the Ice Lord
Yes please, need at least 10+ videos series for phidata, so much to explore.
Also swarms (not openai) have great multi agents architecture.
For web3, I recommend eliza by ai16z.
can i know which technique is used for orchestration of the agents : sequential or hierarchical
Nice video, thanks! Have you tried swarm (OpenAI) or pydantic agent before? if yes which one do you prefer compared to PhiData? I am looking for a library to easily create agents, but that it's simple to use, light weight and that is not so cluttered and doesn't obfuscate or over abstract everything like CrewAI and Langchain do.
How can we setup a local RAG which can redact PII information when extracting the data from the PD before creating the chunk, enrich the chunks by using a LLM to create a title, summary, keywords, embeddings and then use PhiData to chat with the document?
What fart with the auto translation