LangChain
Haystack NLP Framework
Hugging Face
MiniGPT-4
StableLM
Humanloop
Vercel AI SDK
openplayground
Annoy
Vectara Neural Search
Milvus
Scikit-learn
txtai
Weaviate
AWS Personalize
Qdrant
LangChain AnnoyBased on our record, Annoy seems to be a lot more popular than LangChain. While we know about 35 links to Annoy, we've tracked only 3 mentions of LangChain. 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.
Developed using Langchain and Streamlit technologies for enhanced performance. - Source: dev.to / 30 days 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 / 2 months ago
Being able to plug third party frameworks (Langchain, LlamaIndex) so you can build complex projects. - Source: dev.to / 4 months ago
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 / 8 months ago
If you want to go larger you could still use some simple setup in conjunction with faiss, annoy or hnsw. Source: 11 months ago
I then use annoy to compare them. Annoy can use different measures for distance, like cosine, euclidean and more. Source: 11 months 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: 12 months 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: 12 months ago
Haystack NLP Framework - Haystack is an open source NLP framework to build applications with Transformer models and LLMs.
Vectara Neural Search - Neural search as a service API with breakthrough relevance
Hugging Face - The Tamagotchi powered by Artificial Intelligence 🤗
Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
MiniGPT-4 - Minigpt-4
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
