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Beir Alternatives
Similar projects and alternatives to beir
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MeiliSearch
A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Typesense
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
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quickwit
Cloud-native search engine for observability. An open-source alternative to Datadog, Elasticsearch, Loki, and Tempo.
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sonic
🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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manticoresearch
Easy to use open source fast database for search | Good alternative to Elasticsearch now | Drop-in replacement for E in the ELK soon
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zincsearch
ZincSearch . A lightweight alternative to elasticsearch that requires minimal resources, written in Go.
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phalanx
Phalanx is a cloud-native distributed search engine that provides endpoints through gRPC and traditional RESTful API.
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orama
🌌 Fast, dependency-free, full-text and vector search engine with typo tolerance, filters, facets, stemming, and more. Works with any JavaScript runtime, browser, server, service!
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tape
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (by songlab-cal)
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beir reviews and mentions
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On building a semantic search engine
The BEIR project might be what you're looking for: https://github.com/beir-cellar/beir/wiki/Leaderboard
- BEIR: A Heterogeneous Benchmark for Information Retrieval
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Benefits of hybrid search
Custom datasets can also be evaluated using this method as specified in this link. This article and the associated benchmarks script can be reused to evaluate what method works best on your data.
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Meilisearch vs. Elasticsearch
> Meilisearch focuses on simplicity, relevancy, and performance.
> excellent relevance out of the box
> if ease of use, performance, and relevancy are important to you, Meilisearch was made for you
Is there a benchmark that shows Meilisearch outperforming Elasticsearch in terms of relevance score? I couldn't find Meilisearch listed on https://github.com/beir-cellar/beir.
- Manticore 6.0.0 – a faster alternative to Elasticsearch in C++
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An alternative to Elasticsearch that runs on a few MBs of RAM
There are actually benchmarks that allow measuring search relevancy objectively, e.g. BEIR[1]. Manticore Search team did an effort to make a PR to include it to the list. The results are here [2]. Unfortunately the BEIR team seems to be too busy to review a whole pile of PRs including about Vespa. Nevertheless it would be nice to have both Meilisearch and Typesense there too since it's interesting what performance those non-tf-idf based search engines would show compared to BM25-based and vector search engines.
[1] https://github.com/beir-cellar/beir
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Manticore Search: Elasticsearch Alternative
True! Here's a pull request to BEIR to compare Manticore with Elasticsearch in terms of relevance https://github.com/beir-cellar/beir/pull/92. Spoiler: in this test Manticore provides better relevance than Elasticsearch in average. Of course you can tune both further and Elasticsearch now has KNN which when combined with BM25 can give even better relevance. In general I would say for most users the results quality in terms of full-text relevance is about the same in Elasticseach and Manticore.
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Manticore: a faster alternative to Elasticsearch in C++ with a 21-year history
But there's for example BEIR that compared BM25 vs state of the art ML language models and it turned out BM25 is in average better than all of them unless you rerank top 100 results from Elasticsearch using the language models. With Manticore you can get even better relevance than with Elasticsearch. We made a pull-request to BEIR to demonstrate that https://docs.google.com/spreadsheets/d/1_ZyYkPJ_K0st9FJBrjbZqX14nmCCPVlE_y3a_y5KkYI/edit#gid=0
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A note from our sponsor - SaaSHub
www.saashub.com | 25 Apr 2024
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beir-cellar/beir is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of beir is Python.
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