Rust Embeddings

Open-source Rust projects categorized as Embeddings
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Rust semantic-search rag LLM AI
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Top 23 Rust Embedding Projects

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  1. postgresml

    Postgres with GPUs for ML/AI apps.

  2. SaaSHub

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  3. lance

    Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

    Project mention: Accelerating Multimodal Vector DB with Hugging Face + LanceDB | dev.to | 2026-02-17

  4. Daft

    High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

    Project mention: 650GB of Data (Delta Lake on S3). Polars vs. DuckDB vs. Daft vs. Spark | news.ycombinator.com | 2025-11-13

    Hey everyone, I'm a software engineer at Eventual, the team behind Daft! Huge thanks to the op for the benchmark, we're a huge fan of your blog posts and this gave us some really useful insights. For context, Daft is a high-performance data processing engine for AI workloads that works both on single-node and distributed setups.

    We're actively looking into the results of the benchmark and hope to share some of our findings soon. From initial results, we found a lot of potential optimizations we could make to our deltalake reader to improve parallelism and our groupby operator to improve pipelining for count aggregations. We're hoping to roll our these improvements over the next couple of releases.

    If you're interested to learn more about our findings, check out our GitHub (https://github.com/Eventual-Inc/Daft) or follow us on Twitter (https://x.com/daftengine) and LinkedIn (https://www.linkedin.com/showcase/daftengine) for updates. Also if Daft sounds interesting to you, give us a try via pip install daft!

  5. text-embeddings-inference

    A blazing fast inference solution for text embeddings models

    Project mention: Cut token waste across your entire team with the MCP Optimizer | dev.to | 2026-03-11

    The operator defaults to BAAI/bge-small-en-v1.5 as the model and runs the HuggingFace Text Embeddings Inference server. You can increase the replica count via spec.replicas to match your team's throughput needs. One shared instance serves every vMCP in the namespace. For all available configuration options, see the Optimizer docs.

  6. semtools

    Semantic search and document parsing tools for the command line

    Project mention: Semantic grep for Claude Code (RUST) (local embeddings) | news.ycombinator.com | 2025-09-07

    I don't see how these are apples-to-apples given its "send me all your content" approach <https://github.com/run-llama/semtools#:~:text=get%20your%20a...>

    versus https://github.com/BeaconBay/ck#:~:text=yes%2C%20completely%...

  7. korvus

    Korvus is a search SDK that unifies the entire RAG pipeline in a single database query. Built on top of Postgres with bindings for Python, JavaScript, Rust and C.

  8. fastembed-rs

    Rust library for generating vector embeddings, reranking locally!

    Project mention: Show HN: Fastembed-rs – Rust library for generating vector embeddings, reranking | news.ycombinator.com | 2026-06-15

  9. lantern

    PostgreSQL vector database extension for building AI applications

  10. KiteSQL

    Embedded relational database and native Rust data API.

    Project mention: KiteSQL: Rust-native embedded SQL with TPC-C benchmarks and WASM support | news.ycombinator.com | 2026-01-29

  11. tinyvector

    A tiny embedding database in pure Rust.

  12. octocode

    Semantic code searcher and codebase utility (by Muvon)

    Project mention: Ask HN: How do you give AI agents real codebase context without burning tokens? | news.ycombinator.com | 2026-03-05

    Working on a large Rust codebase. The token problem is real — Claude Code will happily spend $5 of context just trying to understand how two modules relate before writing a single line. And once context compaction kicks in, it's even worse — the agent loses the thread completely and starts grepping the same files again from scratch.

    Approaches I've tried:

    Feeding CLAUDE.md / architecture docs manually — helps, but gets stale fast. Cursor's built-in indexing — breaks on monorepos, and I don't love proprietary code going to their servers. Basic MCP server with grep — works for exact matches, useless for semantic queries.

    Eventually built something more serious: a local Tree-sitter indexer that builds a knowledge graph of file relationships and exposes it via MCP so agents query semantically instead of grepping blind. One tool call instead of 15 grep iterations. Published it here: https://github.com/Muvon/octocode

    But genuinely curious what others are doing before I go deeper on it.

    Three specific questions:

    1. How do you handle the "ripple effect" problem — knowing that changing one file semantically affects others that aren't obviously linked?

    2. Do you trust closed-source indexing with proprietary code, or have you gone local-first?

    3. Has anyone gotten GraphRAG-style relationship mapping to work in practice at scale, or is it still mostly hype?

  13. exograph

    Build production-ready backends in minutes

  14. victor

    Web-optimized vector database (written in Rust). (by not-pizza)

  15. PyCrucible

    A robust, cross-platform builder and launcher for Python apps using UV. Built with Rust.

    Project mention: PyCrucible - python embedder written in rust | dev.to | 2025-12-07

  16. model2vec-rs

    Official Rust Implementation of Model2Vec

  17. finalfusion-rust

    finalfusion embeddings in Rust

  18. VelesDB

    The explainable, local-first memory engine for AI agents. One ~9 MB binary fuses vector + graph + columnar under VelesQL; why() returns the evidence path behind every recall. No cloud, no glue code — runs on server, browser, mobile and desktop.

    Project mention: VelesDB now has a Haystack connector - build a RAG pipeline with zero infrastructure | dev.to | 2026-05-01

    VelesDB now ships a first-party Haystack 2.x DocumentStore, contributed by @CrepuscularIRIS in PR #672. Two pip installs, zero infrastructure, and your Haystack pipeline has a vector backend that runs in-process.

  19. rememex

    semantic search for your local files find by meaning, not keywords. 120+ file types, OCR, MCP server for AI agents. 100% private.

    Project mention: Show HN: Rememex – Semantic file search that runs 100% locally (Rust/Tauri) | news.ycombinator.com | 2026-02-19

  20. rawq

    Context retrieval engine for AI agents — semantic + lexical search over codebases

    Project mention: Rawq – semantic code search for AI agents (4x fewer wasted tokens, Rust, OSS) | news.ycombinator.com | 2026-03-20

  21. sochdb

    SochDB is a high-performance embedded, ACID-compliant vector database purpose-built for AI agents and memory

    Project mention: Stop Reindexing: How We Built Real-Time Search Directly Into the Database using sochDB | dev.to | 2026-02-07

    In this post, I’ll explain why reindexing is fundamentally broken for real-time systems, and how we built SochDB to make search a native database capability instead of a separate infrastructure problem.

  22. kjarni

    Native and Private ML inference engine, embeddings, classification, reranking, search, and text generation. Rust core with C# bindings. No Python, no ONNX, no CUDA.

    Project mention: Build a Document Search Engine in C# Without Python | dev.to | 2026-02-15

    NuGet: https://www.nuget.org/packages/Kjarni GitHub: https://github.com/olafurjohannsson/kjarni

  23. bridgerust

    High-performance infrastructure libraries built in Rust, with seamless bindings for Python, Node.js, and WebAssembly.

    Project mention: 9,000+ Downloads in 2 Weeks: I Just Built and Published | dev.to | 2026-01-10

    Two weeks ago, I published Embex to PyPI and npm.

  24. cortex

    Memory for AI agents that never leaves your device. Local-first, end-to-end-encrypted, zero-telemetry memory engine (Rust, MCP) — gives Claude & any MCP client persistent cross-session memory. (by gambletan)

    Project mention: Show HN: Cortex – local-first encrypted memory for AI agents (Rust, MCP) | news.ycombinator.com | 2026-06-13
NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Rust Embeddings discussion

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Rust Embeddings related posts

  • Show HN: Fastembed-rs – Rust library for generating vector embeddings, reranking

    1 project | news.ycombinator.com | 15 Jun 2026

  • Show HN: Cortex – local-first encrypted memory for AI agents (Rust, MCP)

    2 projects | news.ycombinator.com | 13 Jun 2026

  • Show HN: I embedded 685M public texts in 32 minutes (on 8x A100, Rust, TensorRT)

    2 projects | news.ycombinator.com | 4 Jun 2026

  • VelesDB now has a Haystack connector - build a RAG pipeline with zero infrastructure

    1 project | dev.to | 1 May 2026

  • I built a database in France because the Cloud Act makes EU data sovereignty impossible

    2 projects | dev.to | 4 Apr 2026

  • What if SQL could search by meaning? Meet VelesQL

    2 projects | dev.to | 2 Apr 2026

  • Share memory between AI agents without infrastructure

    1 project | dev.to | 31 Mar 2026
  • A note from our sponsor - SaaSHub
    www.saashub.com | 20 Jul 2026
    SaaSHub helps you find the best software and product alternatives Learn more →

Index

What are some of the best open-source Embedding projects in Rust? This list will help you:

# Project Stars
1 postgresml 6,807
2 lance 6,822
3 Daft 5,640
4 text-embeddings-inference 4,930
5 semtools 1,834
6 korvus 1,461
7 fastembed-rs 963
8 lantern 885
9 KiteSQL 730
10 tinyvector 433
11 octocode 433
12 exograph 348
13 victor 261
14 PyCrucible 208
15 model2vec-rs 197
16 finalfusion-rust 104
17 VelesDB 75
18 rememex 65
19 rawq 51
20 sochdb 36
21 kjarni 33
22 bridgerust 28
23 cortex 28

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