# Epsilla Vector Database

- [Overview](/epsilladb/epsilla-vector-database/readme-1.md)
- [Quick Start](/epsilladb/epsilla-vector-database/quick-start.md)
- [Run with Docker](/epsilladb/epsilla-vector-database/quick-start/quick-start.md): You can locally deploy the open-source Epsilla vector database by using its Docker image.
- [Epsilla Cloud](/epsilladb/epsilla-vector-database/quick-start/epsilla-cloud.md): Get your cloud hosted Epsilla vector database up and running within 1 minute.
- [User Manual](/epsilladb/epsilla-vector-database/user-manual.md)
- [Connect to a database](/epsilladb/epsilla-vector-database/user-manual/connect-to-a-database.md): In Epsilla, the data are organized as databases. A database is consisted of multiple tables.
- [Create a new table](/epsilladb/epsilla-vector-database/user-manual/create-a-new-table.md): In Epsilla, you can have multiple tables in a database. A table has its name, and multiple fields. Each field has its name, data type, and specific configurations.
- [Drop a table](/epsilladb/epsilla-vector-database/user-manual/api-reference.md)
- [Delete a database](/epsilladb/epsilla-vector-database/user-manual/delete-a-database.md)
- [Insert records](/epsilladb/epsilla-vector-database/user-manual/insert-records.md): Each table can hold multiple records.
- [Upsert records](/epsilladb/epsilla-vector-database/user-manual/upsert-records.md): In addition to insert, Epsilla also provides an upsert API for easy data updates.
- [Search the top K semantically similar records](/epsilladb/epsilla-vector-database/user-manual/search-the-top-k-semantically-similar-records.md)
- [Retrieve records (with filters and pagination)](/epsilladb/epsilla-vector-database/user-manual/retrieve-records-with-filters-and-pagination.md)
- [Delete records](/epsilladb/epsilla-vector-database/user-manual/api-reference-1.md)
- [Performance Tuning](/epsilladb/epsilla-vector-database/user-manual/performance-tuning.md)
- [Advanced Topics](/epsilladb/epsilla-vector-database/advanced-topics.md)
- [Embeddings](/epsilladb/epsilla-vector-database/advanced-topics/embeddings.md)
- [Dense vector vs. sparse vector](/epsilladb/epsilla-vector-database/advanced-topics/dense-vector-vs.-sparse-vector.md): This page provides an overview of dense and sparse vectors in the context of Epsilla vector database, outlining their use cases, advantages, and disadvantages.
- [Hybrid Search](/epsilladb/epsilla-vector-database/advanced-topics/hybrid-search.md)
- [Integrations](/epsilladb/epsilla-vector-database/integrations.md)
- [OpenAI](/epsilladb/epsilla-vector-database/integrations/openai.md)
- [Mistral AI](/epsilladb/epsilla-vector-database/integrations/mistral-ai.md)
- [Jina AI](/epsilladb/epsilla-vector-database/integrations/jina-ai.md)
- [Voyage AI](/epsilladb/epsilla-vector-database/integrations/voyage-ai.md)
- [Mixedbread AI](/epsilladb/epsilla-vector-database/integrations/mixedbread-ai.md)
- [Nomic AI](/epsilladb/epsilla-vector-database/integrations/nomic-ai.md)
- [Roadmap](/epsilladb/epsilla-vector-database/roadmap.md)