A memory context system for bot interactions with Large Language Models
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Updated
Jul 5, 2024 - Rust
A memory context system for bot interactions with Large Language Models
Rust Microservice for generating sentence embeddings through gRPC & HTTP.
A library to gather structured statistics on the source code files in a software repository, generate embeddings and store in a vector database.
This is a thin wrapper around LanceDb (VectorDb) meant to provide a means to create/store/query embeddings in a LanceDb without the need to grok the lower level Arrow/ColumnarDb tech.
A candle-rs sentence embedder library & server
A vector database for querying meaningfully similar data.
Simple implementation of Word2Vec via feedforward neural network
An async client library for GCP Vertex AI Generative models
finalfusion command-line utilities
next generation vector db built with lmdb bindings
An animal can do training and inference every day of its existence until the day of its death. A forward pass is all you need.
Read/write word2vec and GloVe embeddings in Rust
Use HuggingFace's Candle with Go.
Proxy server for triton gRPC server that inferences embedding model in Rust
Rust bindings to https://github.com/k2-fsa/sherpa-onnx
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