Dev tools · alternatives · 2026
24 alternatives to SQLite-vector – Vector search extension for SQLite (no index, 30MB RAM)
SQLite-Vector is a cross-platform, ultra-efficient SQLite extension that brings vector search capabilities to your embedded database. - sqliteai/sqlite-vector
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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We have been using graph DBs more and more at work. I found them painful to work with locally and decided to try and build something better.
Aug 2026 · github.com · its alternatives →
- 2VY
2025 · vectorvfs.readthedocs.io · its alternatives →
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I built [VectorLiteDB (https://github.com/vectorlitedb/vectorlitedb) — a simple, embedded vector database that stores everything in a single file, just like SQLite. The problem: If you’re a developer building AI apps, you usually have two choices for vector search - Set up a server (e.g. Chroma, Weaviate) - Use a cloud service (e.g. Pinecone) That works for production, but it’s overkill when you just want to: - Quickly prototype with embeddings - Run offline without cloud dependencies - Keep your data portable in a single file The inspiration was *SQLite* during…
2025 · github.com · its alternatives →
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Vectorize▲246Build RAG pipelines that are optimized for your data.
2024 · vectorize.io · its alternatives →
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Visual tool to explore SQLite databases page-by-page, the way they're stored on disk and the way SQLite sees them. - QuadrupleA/sqlite-page-explorer
2025 · github.com · its alternatives →
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Vectorized executor to speed up PostgreSQL. Contribute to citusdata/postgres_vectorization_test development by creating an account on GitHub.
2014 · github.com · its alternatives →
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Supabase Vector▲398The open source backend for AI applications
2023 · supabase.com · its alternatives →
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A high-performance observability data pipeline. Contribute to vectordotdev/vector development by creating an account on GitHub.
2019 · github.com · its alternatives →
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pglite-fusion is a PostgreSQL extension that allows you to embed SQLite databases into your PostgreSQL tables by enabling the creation of columns with the `SQLITE` type. This means every row in the table can have an embedded SQLite database. In addition to the PostgreSQL `SQLITE` type, pglite-fusion provides the `query_sqlite`` function for querying SQLite databases and the `execute_sqlite` function for updating them. Additional functions are listed in the project’s README. The pglite-fusion extension is written in Rust using the pgrx framework [1]. ---- Implementation Details The PostgreSQL…
2024 · github.com · its alternatives →
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Hi HN, I built VectorDBZ, a cross-platform desktop app for exploring and analyzing vector databases like Qdrant, Weaviate, Milvus, and ChromaDB. It lets you browse collections, inspect vectors and metadata, run similarity searches, and visualize embeddings without writing custom scripts. GitHub (downloads and issues): https://github.com/vectordbz/vectordbz Feedback welcome. If it’s useful, starring the repo helps keep me motivated. Thanks.
Jan 2026 · github.com · its alternatives →
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- 15AS
2013 · insightdatascience.com · its alternatives →
- 16VA
2013 · zhehaomao.com · its alternatives →
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Marqo is an end-to-end vector search engine. It contains everything required to integrate vector search into an application in a single API. Here is a code snippet for a minimal example of vector search with Marqo: mq = marqo.Client() mq.create_index("my-first-index") mq.index("my-first-index").add_documents([{"title": "The Travels of Marco Polo"}]) results = mq.index("my-first-index").search(q="Marqo Polo") Why Marqo? Vector similarity alone is not enough for vector search. Vector search requires more than a vector database - it also requires machine learning (ML) deployment and management,…
2023 · github.com · its alternatives →
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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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The portable vector database for AI agents beyond the cloud
Apr 2026 · actian.com · its alternatives →
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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 →
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Create custom SQLite functions in JavaScript. Extend your database with scalars, aggregates, window functions, and collations directly in JavaScript. - sqliteai/sqlite-js
2025 · github.com · its alternatives →
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Contribute to Z-Gort/Reservoirs-Lab development by creating an account on GitHub.
2024 · github.com · its alternatives →
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The visual interface your vector database never had.
Jun 2026 · vectorlens.dev · its alternatives →
Also compare
- LatticeDB – Like SQLite but for graph databases alternatives
- VectorVFS, your filesystem as a vector database alternatives
- VectorLiteDB – a vector DB for local dev, like SQLite but for vectors alternatives
- Vectorize alternatives
- SQLite disk page explorer alternatives
- Speeding up PostgreSQL through vectorized execution alternatives
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 →