#1
Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust
15K starsJun 16, 2026 pushrag-knowledgeRustSearch
$ npx skills add quickwit-oss/tantivyAlternatives
Next Plaid alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Next Plaid
NextPlaid, ColGREP: Multi-vector search, from database to coding agents.
78
Quality
74
Trust
495
Stars
#2
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
33K starsJul 18, 2026 pushrag-knowledgeRustVector Search
$ npx skills add qdrant/qdrant#3
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
9.2K starsMay 21, 2026 pushrag-knowledgeC++Vector Search
$ npx skills add activeloopai/deeplake#4
Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. Unified architecture on your S3.
9.4K starsJul 18, 2026 pushrag-knowledgeRustVector Search
$ npx skills add databendlabs/databend#5
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
30K starsAug 14, 2026 pushrag-knowledgePythonVector Search
$ npx skills add topoteretes/cognee#6
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
63K starsJul 13, 2026 pushrag-knowledgeJavaScriptVector Search
$ npx skills add Mintplex-Labs/anything-llm#7
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
34K starsJul 18, 2026 pushrag-knowledgePythonVector Search
$ npx skills add VectifyAI/PageIndex#8
🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
21K starsJun 12, 2026 pushrag-knowledgeRustSearch
$ npx skills add valeriansaliou/sonic#9
MariaDB server is a community developed fork of MySQL server. Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry.
7.9K starsJul 19, 2026 pushrag-knowledgeC++Vector Search
$ npx skills add MariaDB/server#10
The Fastest Distributed Database for Transactional, Analytical, and AI Workloads.
10K starsJun 19, 2026 pushrag-knowledgeC++Vector Search
$ npx skills add oceanbase/oceanbase#11
🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
10K starsJun 30, 2026 pushrag-knowledgeTypeScriptVector Search
$ npx skills add oramasearch/orama#12
Free and Open Source, Distributed, RESTful Search Engine
77K starsJun 16, 2026 pushrag-knowledgeJavaSearch
$ npx skills add elastic/elasticsearch#13
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
28K starsJun 17, 2026 pushrag-knowledgeJupyter NotebookSemantic Search
$ npx skills add NirDiamant/RAG_Techniques#14
high-performance graph database for real-time use cases
22K starsJun 19, 2026 pushrag-knowledgeGoKnowledge Graph
$ npx skills add dgraph-io/dgraph#15
🔎 Open source distributed and RESTful search engine.
13K starsJun 16, 2026 pushrag-knowledgeJavaSearch
$ npx skills add opensearch-project/OpenSearch#16
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
11K starsJun 15, 2026 pushrag-knowledgeHTMLSemantic Search
$ npx skills add lancedb/lancedbHow to choose
When should you switch?
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Next Plaid if it already passes your workflow test and repository review.
Next step
Compare top candidates side by side
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.