Search AI application data with Infinity, a database supporting vectors, tensors, and full-text queries.
Open source
17 alternativesEpsilla
Epsilla provides a vector database that uses parallel graph computing for search workloads.
About Epsilla
Epsilla is an open-source vector database for storing embedding vectors and running similarity search. It organizes data using databases, tables, and fields where vector is a field type, and supports metadata filtering, hybrid dense and sparse vector search, and built-in embedding support for text queries.
It can be run in Docker and accessed with Python, JavaScript, and Ruby clients or a REST API, with integrations for LangChain and LlamaIndex. Use as a Python library without Docker is marked as experimental and requires building from source.
Key features
- Similarity search over stored embedding vectors
- Metadata filtering on vector queries
- Hybrid search using dense and sparse vectors
- Built-in embedding support for text queries
- Integrations with LangChain and LlamaIndex
- Python, JavaScript, Ruby clients and REST API
Best for: Developers building search or LLM-related applications that need self-hosted vector storage.
Good for
- Open-source repository
- Docker setup with Python client example
- Works with LangChain and LlamaIndex
Watch out for
- Python library use without Docker is marked experimental and requires manual build steps
Epsilla at a glance
- Category
- AI & Machine Learning › AI SQL & Database Tools
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Epsilla alternatives
Tools and sites you could use instead, ranked by how closely they match.
Milvus provides an open-source vector database for generative AI and large collections of embeddings.
PandasAI lets users query databases and data lakes conversationally with LLMs and retrieval augmented generation.
Deepnote supports collaborative data exploration with Python and SQL and publishes notes about its research.
QuestDB provides an open-source time-series database with fast SQL queries for large workloads.
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Epsilla FAQ
How can Epsilla be run locally?
Pull the epsilla/vectordb Docker image and run it on port 8888 with a data directory mounted, then connect using the pyepsilla Python client.
What clients and integrations are available?
Python, JavaScript, and Ruby clients plus a REST API interface, with integrations for LangChain and LlamaIndex.
Can Epsilla be used without Docker?
A Python library mode without Docker is listed as experimental and requires building the bindings from source.
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