Dev tools · alternatives · 2026

24 alternatives to TF-IDF search engine in 30 lines of Scala

Vector space model implemented in a few lines . Contribute to felipehummel/TinySearchEngine development by creating an account on GitHub.

TF-IDF Search Engine in 30 Lines of Scala is a minimalist implementation of a vector space model for text search written in Scala. It is designed for developers who want a lightweight, compact search solution that… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. TF-IDF search engine in 30 lines of Scala launched in 2011; newer entries below may have overtaken it.

1
Building a web search engine from scratch with 3B neural embeddings▲699
End-to-end deep dive of the project, spanning a large GPU cluster, distributed RocksDB, and terabytes of sharded HNSW.
2025 · blog.wilsonl.in · its alternatives →
2IM
I made a website to semantically search ArXiv papers▲324
As a grad student (and an ADHDer), I had trouble doing literature review systematically. To combat this, I made a website that finds similar papers using the meaning of the thing I am looking for. I used MixedBread's [^1] embedding model to generate vectors from the abstracts. I store and search similar vectors using Milvus [^2] and finally use Gradio [^3] to serve the frontend. I update the vector database weekly by pulling the metadata dataset from Kaggle [^4]. To speed up the search process on my free oracle instance, I binarise the embeddings and use Hamming distance as a metric. I would…
2024 · papermatch.mitanshu.tech · its alternatives →
3
TF-IDF SERP Analyzer Chrome Extension▲6
Search Query vs SERP Title Similarity Checker
2024 · chromewebstore.google.com · its alternatives →
4AS
A search engine that lets you 'add' words as vectors▲148
2013 · insightdatascience.com · its alternatives →
5
I made a better Perplexity for developers▲185
Hi HN, I am Jiayuan, and I'm here to introduce a tool we've been building over the past few months: Devv (https://devv.ai). In simple terms, it is an AI-powered search engine specifically designed for developers. Now, you might ask, with so many AI search engines already available—Perplexity, You.com, Phind, and several open-source projects—why do we need another one? We all know that Generative Search Engines are built on RAG (Retrieval-Augmented Generation)[1] combined with Large Language Models (LLMs). Most of the products mentioned above use indexes from general search engines…
2024 · devv.ai · its alternatives →
6
Pluggable vector space models▲12
Language model search engine built on a vector database and an anything key/value store. - Release v.0.31 · kreeben/resin
2019 · github.com · its alternatives →
7
Semantic grep with local embeddings▲179
Local first semantic and hybrid BM25 grep / search tool for use by AI and humans! - GitHub - BeaconBay/ck: Local first semantic and hybrid BM25 grep / search tool for use by AI and humans!
2025 · github.com · its alternatives →
8
USearch – Smaller and Faster Single-File Vector Search Engine▲21
Last week was insane for vector search. Weaviate raised $50M, and Pinecone raised $100M... That's a lot and makes you believe that vector search is hard. But it's not. I have spent the last couple of days implementing a single-file vector search engine from scratch, which is at least the tenth in the twenty years of my career. But this time, it's different. Instead of inventing a brand new algorithm and doing some crazy optimizations on the GPU, I: 1. took the standard HNSW algorithm, 2. fitted into 1000 lines of C++11 for portability, 3. added quantization and hardware-accelerated metrics,…
2023 · github.com · its alternatives →
9
A fast HNSW implementation in Rust▲111
HNSW implementation in Rust. Reference: https://arxiv.org/ftp/arxiv/papers/1603/1603.09320.pdf - swapneel/hnsw-rust
2024 · github.com · its alternatives →
10
Vector – A High-Performance Log and Metric Router Written in Rust▲322
A high-performance observability data pipeline. Contribute to vectordotdev/vector development by creating an account on GitHub.
2019 · github.com · its alternatives →
11
Epsilla – Open-source vector database with low query latency▲111
Hey HN! We are building Epsilla (https://github.com/epsilla-cloud/vectordb), an open-source, self-hostable vector database for semantic similarity search that specializes in low query latency. When do we need a vector database? For example, GPT-3.5 has a 16k context window limit. If we want to let it answer a question about a 300 page book, we cannot put the whole book content into the context. We have to choose the sections of the book that are most relevant to the question. Vector database is specialized at ranking and picking the most relevant content from a large pool…
2023 · github.com · its alternatives →
12TI
TF-IDF based text analyzer▲14
2011 · bookshrink.com · its alternatives →
13
Meilisearch AI▲241
Boost relevance and UX with fast hybrid and semantic search
2025 · meilisearch.com · its alternatives →
14
Tantivy▲68
A full-text, horse-speed search engine library in Rust
2022 · github.com · its alternatives →
15
I built a vector database API on Cloudflare▲101
🦉⚡️Serverless, distributed vector database as an API - TimeSurgeLabs/athenadb
2024 · github.com · its alternatives →
16
Shift-Ctrl-F: Search a webpage with natural language and TensorFlowJS▲143
🔎 Search the information available on a webpage using natural language instead of an exact string match. - model-zoo/shift-ctrl-f
2020 · github.com · its alternatives →
17
HelixDB – Open-source vector-graph database for AI applications (Rust)▲237
Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…
2025 · github.com · its alternatives →
18WB
We built a fast substring search engine in Go▲145
2013 · tamber.com · its alternatives →
19AG
A GPU-accelerated binary vector index▲65
This is a vector index I built that supports insertion and k-nearest neighbors (k-NN) querying, optimized for GPUs. It operates entirely in CUDA and can process queries on half a billion vectors in under 200 milliseconds. The codebase is structured as a standalone library with an HTTP API for remote access. It’s intended for high-performance search tasks—think similarity search, AI model retrieval, or reinforcement learning replay buffers. The codebase is located at https://github.com/rodlaf/BinaryGPUIndex.
2025 · rlafuente.com · its alternatives →
20
PageIndex – Vectorless RAG▲192
Not all improvements come from adding complexity — sometimes it's about removing it. PageIndex takes a different approach to RAG. Instead of relying on vector databases or artificial chunking, it builds a hierarchical tree structure from documents and uses reasoning-based tree search to locate the most relevant sections. This mirrors how humans approach reading: navigating through sections and context rather than matching embeddings. As a result, the retrieval feels transparent, structured, and explainable. It moves RAG away from approximate "semantic vibes" and toward explicit reasoning…
2025 · github.com · its alternatives →
21
Biblos – Semantic Bible Embedded Vector Search and Claude LLM▲136
Introducing Biblos, a simple tool for semantic search and summarization of Bible passages. Leveraging Chroma for vector search with BAAI BGE embeddings, semantically find related verses across the Bible. The tool employs Anthropic's Claude LLM model for generating high-quality summaries of retrieved passages, contextualizing your search topic. Built on a Retrieval Augmented Generation (RAG) architecture, the app implements a simple Streamlit Web UI using Python. Deployed using render.com, the app is available at https://biblos.app Note: Search by just topic/keywords, e.g.…
2023 · github.com · its alternatives →
22
Demystifying Advanced RAG Pipelines▲131
I've built an advanced RAG (Retrieval-Augmented Generation) pipeline from scratch to demystify the complex mechanics of modern LLM-powered Question Answering systems. This repository features: -- An implementation of a sub-question query engine from scratch to answer complex user questions. -- Illustrative explanations that unveil the inner workings of the system. -- An analysis of the challenges I faced while working with the system, like prompt engineering and cost estimation. -- Qualitative comparison with similar frameworks like LlamaIndex, offering a broader perspective. Key Takeaway:…
2023 · github.com · its alternatives →
23
Cherry2.0 – text classification without ML knowledge needed▲71
text classification - no machine learning knowledge needed - Windsooon/cherry
2019 · github.com · its alternatives →
24
Client Vector Search – Embeddings and Semantic Search with 5 Lines▲11
Hey HN, we're excited to show you client-vector-search, a client-side library that helps you embed, store, search, and cache vectors in your browser or node env. We needed it at https://searchbase.app and that's why we've built it. with it you get: 1. easy setup: you only need to add 5 lines of code to build a semantic search 2. no embedding api needed: you don't need an api and have to pay for it unless ure scaling up millions 3. faster search: modern hardware is better than cheap cloud computers (0.5vCPUs) 4. zero latency: no back-and-forth with server-side 5. easy integration…
2023 · clientvectorsearch.com · its alternatives →

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