Dev tools · alternatives · 2026
24 alternatives to PISA – A text search engine able to run on large-scale collections
PISA: Performant Indexes and Search for Academia. Contribute to pisa-engine/pisa development by creating an account on GitHub.
PISA is a text search engine designed to handle large-scale document collections. It enables users to build and query full-text indexes efficiently, making it suitable for researchers and developers working with… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. PISA – A text search engine able to run on large-scale collections launched in 2019; newer entries below may have overtaken it.
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PISA: Performant Indexes and Search for Academia. Contribute to pisa-engine/pisa development by creating an account on GitHub.
2020 · github.com · its alternatives →
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PISA: Performant Indexes and Search for Academia. Contribute to pisa-engine/pisa development by creating an account on GitHub.
2019 · github.com · its alternatives →
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PISA: Performant Indexes and Search for Academia. Contribute to pisa-engine/pisa development by creating an account on GitHub.
2019 · github.com · its alternatives →
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PISA: Performant Indexes and Search for Academia. Contribute to pisa-engine/pisa development by creating an account on GitHub.
2019 · github.com · its alternatives →
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Tantivy▲68A full-text, horse-speed search engine library in Rust
2022 · github.com · its alternatives →
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Consensus▲407A search engine that finds you answers in scientific papers
2022 · consensus.app · its alternatives →
- 8FT
2021 · gutensearch.com · its alternatives →
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Books Search with Typesense
2020 · books-search.typesense.org · its alternatives →
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Meilisearch AI▲241Boost relevance and UX with fast hybrid and semantic search
2025 · meilisearch.com · its alternatives →
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Full Text Search Engine - built for Hackers not Hyperscalers - 0xnyn/blaze
2025 · github.com · its alternatives →
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- 14AS
2013 · insightdatascience.com · its alternatives →
- 15
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 →
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Last summer we faced a conundrum at my company, Tiger Data, a Postgres cloud vendor whose main business is in timeseries data. We were trying to grow our business towards emerging AI-centric workloads and wanted to provide a state-of-the-art hybrid search stack in Postgres. We'd already built pgvectorscale in house with the goal of scaling semantic search beyond pgvector's main memory limitations. We just needed a scalable ranked keyword search solution too. The problem: core Postgres doesn't provide this; the leading Postgres BM25 extension, ParadeDB, is guarded behind AGPL; developing our…
Mar 2026 · github.com · its alternatives →
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Metabase grounds every answer in your semantic layer — your metrics and business logic — so you can inspect the query behind it.
2015 · metabase.com · its alternatives →
- 18BI
2020 · binarysearch.io · its alternatives →
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Hey HN, it’s been just over a year since we launched HelixDB (https://news.ycombinator.com/item?id=43975423), a project a friend and I started in college. It’s an OLTP graph database built on object-storage, with native vector search and full-text search (FTS). Why graph, vector and FTS? Graph databases provide a natural cognitive model for data, vectors allow for a semantic understanding of the entities and relationships in the graph, and FTS provides more specific filtering. Many AI-driven applications attempt to combine all of these functionalities by stitching together…
Jun 2026 · github.com · its alternatives →
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SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust. - SeekStorm/SeekStorm
2024 · github.com · its alternatives →
- 21IM
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 →
- 22WS
We’ve trained a generative AI model to browse the web and answer questions/retrieve code snippets directly. Unlike ChatGPT, it has access to primary sources and is able to cite them when you hover over an answer (click on the text to go to the source being cited). We also show regular Bing results side-by-side with our AI answer. The model is an 11-billion parameter T5-derivative that has been fine-tuned on feedback given on hundreds of thousands of searches done (anonymously) on our platform. Giving the model web access lessens its burden to need to store a snapshot of human knowledge…
2022 · beta.sayhello.so · its alternatives →
- 23MI
2017 · moocha.io · its alternatives →
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Hey, HN! You probably know that the ordering of products on Amazon, posts in FB, and search results in Google is personalized for each visitor, as it directly affects conversion, click rate and engagement. But not everyone can afford to hire an army of PhDs to squeeze every penny out of the ranking, and not everyone agrees on the current (im)balance between privacy and profits. So we built Metarank, an open-source and privacy-focused personalization engine. It can rerank in real-time any type of content, using only the data you allow, and optimize metrics you define. We made a lot of…
2022 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →