Annoy
txtai
Scikit-learn
Milvus
Vectara Neural Search
Weaviate
AWS Personalize
Qdrant
LangChain
Hugging Face
Haystack NLP Framework
MiniGPT-4
Replika
Humanloop
StableLM
Vercel AI SDK
Annoy LangChainBased on our record, Annoy should be more popular than LangChain. It has been mentiond 35 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The focus on the top 10 in vector search is a product of wanting to prove value over keyword search. Keyword search is going to miss some conceptual matches. You can try to work around that with tokenization and complex queries with all variations but it's not easy. Vector search isn't all that new a concept. For example, the annoy library (https://github.com/spotify/annoy), an open source embeddings database. - Source: Hacker News / 9 months ago
If you want to go larger you could still use some simple setup in conjunction with faiss, annoy or hnsw. Source: 12 months ago
I then use annoy to compare them. Annoy can use different measures for distance, like cosine, euclidean and more. Source: about 1 year ago
Yes you can do this for equality predicates if your row groups are sorted . This blog post (that I didn't write) might add more color. You can't do this for any kind of text searching. If you need to do this with file based storage I'd recommend using a vector based text search and utilize a ANN index library like Annoy. Source: about 1 year ago
If you need large scale (1000+ dimension, millions+ source points, >1000 queries per second) and accept imperfect results / approximate nearest neighbors, then other people have already mentioned some of the best libraries (FAISS, Annoy). Source: about 1 year ago
Undoubtedly, LangChain is the most popular framework for AI application development at the moment. The advent of LangChain has greatly simplified the construction of AI applications based on Large Language Models (LLM). If we compare an AI application to a person, the LLM would be the "brain," while LangChain acts as the "limbs" by providing various tools and abstractions. Combined, they enable the creation of AI... - Source: dev.to / 23 days ago
Developed using Langchain and Streamlit technologies for enhanced performance. - Source: dev.to / about 2 months ago
LangChain was first released in October 2022 as an open-source side project, a framework that makes developing AI applications more flexible. It got so popular that it was promptly turned into a startup. - Source: dev.to / 3 months ago
Being able to plug third party frameworks (Langchain, LlamaIndex) so you can build complex projects. - Source: dev.to / 5 months ago
txtai - AI-powered search engine
Hugging Face - The Tamagotchi powered by Artificial Intelligence 🤗
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Haystack NLP Framework - Haystack is an open source NLP framework to build applications with Transformer models and LLMs.
Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
MiniGPT-4 - Minigpt-4