How does embedding size influence the performance of models on tasks involving the analysis of legal documents or other domain-specific text?

Jun 4, 2024 ... Embedding dimensions: This is the length of the embedding vector. ... For common RAG applications, a good chunk size for an embedding is typically ... Oct 23, 2023 ... Paper: Towards General Text Embeddings with Multi-stage Contrastive Learning; Embedding Dimension: 768; Model Size: 219 MB. 2. GTE-Large. Model ... Available Models. Voyage recommends using the following text embedding models: Model, Context Length, Embedding Dimension, Description. voyage-3-large, 32,000 ... Apr 8, 2023 ... The output dimension is mantained, since values coming from each attention head are concatenated and then projected with a matrix WO∈Rhdv×dmodel ... Aug 18, 2020 ... An embedding of the topological space X into Euclidean space Rn is just a map ϕ:X→Rn such that ϕ:X→ϕ(X) is a homeomorphism. The embedding dimension is the length of the produced vectors. A greater dimension offers a greater precision, but is more costly to operate over. The optimal ... Dec 9, 2023 ... ... size or length. Common vector dimensionalities include 384 ... A single dimension in a vector embedding does not mean anything, as ... Nov 1, 2023 ... Understanding "text-embedding-ada-002" vector length of 1536 ... No matter how long the input string is, the return of creating embeddings with “ ... Selecting Embed only the characters used in the presentation reduces the file size but limits editing of the file using the same font. This checkbox is common ... Model size: the size of a model indicates how easy it will be to run. All ... embeddings # openai embedding function def embed(docs: list[str]) -> list ...