3 ms·
Given the comments in the previous submission about LangChain (https://news.ycombinator.com/item?id=35820931 https://news.ycombinator.com/item?id=35820931), I a
by minimaxir 3y ago
Given the comments in the previous submission about LangChain (https://news.ycombinator.com/item?id=35820931 https://news.ycombinator.com/item?id=35820931), I am working on a much simpler/faster/cheaper alternative that doesn't require delving deep into arcane documentation and guides as if LangChain's complexity and inflexibility is a good thing for more than quick demos.
Also relatedly, I am also working on a tutorial on how to do vector similarity search without having to pay for a vector store because there is confusingly very few blog articles highlighting the space between "embeddings as text in a CSV" and "full-on vector store management" which is annoying for people who want to do personal projects.
- simonw 3y agoLooking forward to seeing that. I haven't yet managed to get my head around LangChain, excited to see what your simpler alternative looks like.
- mkw5053 3y agoI used langchain to make a pretty basic LLM augmented with a (free) local vector database: https://github.com/mkwatson/chat_any_site https://github.com/mkwatson/chat_any_site
- danmaw 3y agoThat's awesome. Looking forward to trying it.
- axpy906 3y agoI would like to see the performance improvement wrt to something like FAISS tuned than using a vector db. Could poke a hole in a budding trend.