AI · alternatives · 2026
24 alternatives to BilberryDB
A No-Code Multimodal Vector Database
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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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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Llama 4▲422A new era of natively multimodal AI innovation
2025 · developer.meta.com · 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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HelixDB▲105An open-source OLTP graph-vector database built in Rust.
Feb 2026 · helix-db.com · its alternatives →
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Client Side Vector Database. Contribute to 0xnyn/tinkerbird development by creating an account on GitHub.
2024 · github.com · its alternatives →
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Typebase AI▲98A powerful AI tool for creatives and businesses
2023 · apps.apple.com · its alternatives →
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Automate common AI tasks for multimodal data
2025 · aperturedata.io · its alternatives →
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Hey HN, I’m excited to share Antfly: a distributed document database and search engine written in Go that combines full-text, vector, and graph search. Use it for distributed multimodal search and memory, or for local dev and small deployments. I built this to give developers a single-binary deployment with native ML inference (via a built-in service called Termite), meaning you don't need external API calls for vector search unless you want to use them. Some things that might interest this crowd: Capabilities: Multimodal indexing (images, audio, video), MongoDB-style in-place updates, and…
Mar 2026 · 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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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 →
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🦉⚡️Serverless, distributed vector database as an API - TimeSurgeLabs/athenadb
2024 · github.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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Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less. - lancedb/lancedb
2023 · github.com · its alternatives →
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Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming.. - lance-format/lance
2022 · github.com · its alternatives →
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Slava Akhmechet schools us on RethinkDB and the realtime web
2015 · changelog.com · 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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Extremely memory-efficient vector database. Contribute to D-Star-AI/minDB development by creating an account on GitHub.
2024 · github.com · its alternatives →
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OctaneDB is an open-source vector database for Python that focuses on ultra-fast similarity search for high-dimensional data—perfect for AI/ML, semantic search, and large-scale document or embedding retrieval. What does it do? Store, index, and search millions of embeddings (text, images, etc.) with sub-millisecond query time. Supports in-memory and efficient HDF5 persistent storage. Integrates seamlessly with sentence-transformers for automatic text embedding. Key Features: 10x faster than Pinecone or ChromaDB for vector search and batch insertions. Advanced indexing: HNSW (approximate…
2025 · github.com · its alternatives →
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One Key. Models, Tools & Vector DB Included. Start Free.
Jun 2026 · dashboard.openadapter.in · 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 →