capsa 0.1.0

A compact, lightweight library for embedding-based document storage and retrieval
Documentation 
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[package]
name = "capsa"
version = "0.1.0"
edition = "2024"
authors = ["Gianluca Guida <glguida@gmail.com>"]
description = "A compact, lightweight library for embedding-based document storage and retrieval"
license = "MIT"
repository = "https://github.com/glguida/capsa"
homepage = "https://github.com/glguida/capsa"
keywords = ["vector-search", "embeddings", "rag", "retrieval", "semantic-search"]
categories = ["database", "text-processing"]
readme = "README.md"

[[bin]]
name = "capsa"
path = "bin/capsa.rs"

[dependencies]
anyhow = "1.0.100"
async-openai = { version = "0.32.2", features = ["embedding"] }
async-trait = "0.1"
tokio = { version = "1.48.0", features = ["full"] }
text-splitter = { version = "0.28", features = ["tokenizers"] }
tokenizers = { version = "0.22", features = ["http"] }
stream = "0.1.0"
futures = "0.3.31"
pdf-extract = "0.7"
libsql = "0.9.29"
serde_json = "1.0.148"
clap = { version = "4.5", features = ["derive"] }
lru = "0.12"
yt-transcript-rs = "0.1.8"
thiserror = "2.0"
secrecy = "0.10.3"