Langchain vs Llama Index: Which one should you use?

Рет қаралды 14,583

Күн бұрын

In this video I go over some of the high-level differences between Langchain and Llama Index.
Relevant Links:
New Llama Index Release - / llamaindex-0-7-0-bette...
Langchain - python.langchain.com/
Llama Index - gpt-index.readthedocs.io/en/l...
Other Links:
0xmerkle.com/

Пікірлер: 23

@Vivek-ff7lw Жыл бұрын

Dude, this is a really good information. Thanks. Subscribed! Wish to see more videos of your firsthand experience.

@kevon217 Жыл бұрын

Great overview of pros and cons. Any recommendations for cases where you might want to use both somehow?

@rickmoy7567 9 ай бұрын

I’ve just seen an implementation with both together but it was pretty basic. Llama index was used to preprocess the content and provide context into the LLM for reasoning. I’d love to see more advanced logic with the two integrated and where and how to best write “business logic” TIA

@supermario2188 11 ай бұрын

Do you need either of these frameworks if you use openai’s fucntions or use langchain and functions in conjunction?

@Yackadaisical 11 ай бұрын

I started with using llama index… really a big pain in the bum reading the documentation and hard to figure things out since so many tools are not that clear

@echofloripa 9 ай бұрын

Man, you've as many tabs on the browser as I do, I think it's my ADHD 😅 Great video, thanks for the comparison

@heymichaeldaigler 9 ай бұрын

lol I have a problem. Thanks for watching!

@user-wr4yl7tx3w Жыл бұрын

Is Llama index faster due to better memory control?

@heymichaeldaigler Жыл бұрын

Llama index allows routing of queries to indexes prior to LLM calls, can break down complex query inputs into subqueries if the information required is from disparate datasets, etc. Think llama index as more of a memory management first for LLMs. You can create more arbitrary data structures over your data

@user-wr4yl7tx3w Жыл бұрын

I think some examples could be helpful especially for Llama Index.

@heymichaeldaigler Жыл бұрын

Couldn't agree more! I'll work on getting some examples to explain

@dinithkumudika6459 5 ай бұрын

what about haystack? haystack has been there much longer than langchain and it also has almost similar functionalities to the langchain

@heymichaeldaigler 5 ай бұрын

Oh, I feel like I've heard of this, but I haven't given it the attention it deserves. I'll take a deeper dive into haystack.

@dinithkumudika6459 5 ай бұрын

@@heymichaeldaigler great if you could do a comparison between it and the lagchain.

@while3980 7 ай бұрын

Scope: Langchain is better for beginners and those starting new projects with uncertain needs. Llama Index is better for those with specific project needs and requiring advanced memory management or querying capabilities. Interface: Langchain is easier to learn and use, with more examples and community support. Llama Index has a more complex interface, but it is rapidly improving with recent updates. Storage and Indexing: Langchain is more generic, using the retriever paradigm for querying data. Llama Index is designed for deep querying and response synthesis, allowing for flexible memory architecture. Querying: Langchain has less powerful querying capabilities, but they are still sufficient for most use cases. Llama Index has stronger querying capabilities, with a priori query routing and response synthesis engine. Overall: Langchain is recommended for beginners and those starting new projects. Llama Index is recommended for experienced users with specific project needs and requiring advanced features.

@adscript4713 4 ай бұрын

Does it have to either/or? Can't we just use LlamaIndex for querying and Langchain for everything else?