A test suite and interface you can use to implement a chunk based storage backend

Built with Fast Dash, this app uses Embedchain, which abstracts the entire process of loading and chunking datasets, creating embeddings, and storing them in a vector database. Embedchain itself uses Langchain and OpenAI's ChatGPT API.

Filesystem (fs) chunk store that is abstract-chunk-store compliant

IndexedDB chunk store that is abstract-chunk-store compliant

In-memory LRU (least-recently-used) cache for abstract-chunk-store compliant stores

Convert an abstract-chunk-store compliant store into a readable or writable stream

In memory chunk store that is abstract-chunk-store compliant

Immediate put/get for any abstract-chunk-store compliant store

File System Access API chunk store that is abstract-chunk-store compliant

An abstract-chunk-store compliant store backed by IndexedDB for the browser

Browser localStorage chunk store that is abstract-chunk-store compliant

localForage chunk store that is abstract-chunk-store compliant

Access an abstract-chunk-store over any stream

Abstract chunk store built on idb-kv: the lightweight and simple API for indexeddb with automatic batching

Browser localForage chunk store that is abstract-chunk-store compliant

Browser CacheStorage chunk store that is abstract-chunk-store compliant

File System Access API chunk store that is abstract-chunk-store compliant, with filesystem-like folder structure.

IndexedDB chunk store that is abstract-chunk-store compatible

Queued .get for abstract-chunk-store compliant stores

Read an abstract-chunk-store as a stream

Replit Database chunk store that is abstract-chunk-store compliant

File System Access API chunk store that is abstract-chunk-store compliant, with filesystem-like folder structure.

Chunk store IoT server that is abstract-chunk-store compliant built using memory as the storage backend.

An abstract chunk store for the web which chooses the best storage solution.