Results for embedded_document

Rust and WebAssembly library for late interaction models.

High-performance PostgreSQL vector database extension v2 - pgvector drop-in replacement with 230+ SQL functions, SIMD acceleration, Flash Attention, GNN layers, hybrid search, multi-tenancy, self-healing, and self-learning capabilities

Embedded in-place B+ tree storage engine with WAL, per-table concurrency, secondary indexes, lazy row decoding, and optional AES-256-GCM encryption and vector search. Powers the storage tier of the Boogy serverless platform (https://boogy.ai).

Procedural macros (#[derive(Document)]) for the obj embedded document database.

A lightweight, embedded document database with ACID transactions and MVCC support

Embedded document database. Stable file format, full ACID, single-file portability.

High-performance document conversion engine for AI/LLM embeddings - 27 formats supported

Rust SDK for KeraDB - a lightweight, embedded NoSQL document database with vector search

BM25 embedder, scorer, and search engine

BM25 embedder, scorer, and search engine

An embedded NoSQL document database for Rust with collections, repositories, indexing, and ACID transactions

Rust SDK for SeekDB