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PetPS: Supporting Huge Embedding Models with Tiered Memory
A Flexible and Powerful Parameter Server for large-scale machine learning
A curated list of awesome embedding models tutorials, projects and communities.
Python library for knowledge graph embedding and representation learning.
OpenL3: Open-source deep audio and image embeddings
Implementations of Embedding-based methods for Knowledge Base Completion tasks
Word Embeddings for Information Retrieval
Neural Code Comprehension: A Learnable Representation of Code Semantics
Web-ify your word2vec: framework to serve distributional semantic models online
A client side vector search library that can embed, store, search, and cache vectors. Works on the browser and node. It outperforms OpenAI's text-embedding-ada-002 and is way faster than Pinecone and other VectorDBs.
Official code for "? Retrieval Models Aren’t Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models"