Skip to content

Resource Requirements

Chroma makes use of the following compute resources:

  • RAM - Chroma stores the vector HNSW index in-memory. This allows it to perform blazing fast semantic searches.
  • Disk - Chroma persists all data to disk. This includes the vector HNSW index, metadata index, system DB, and the write-ahead log (WAL).
  • CPU - Chroma uses CPU for indexing and searching vectors.

Here are some formulas and heuristics to help you estimate the resources you need to run Chroma.

RAM

Once you select your embedding model, use the following formula for calculating RAM storage requirements for the vector HNSW index:

number of vectors * dimensionality of vectors * 4 bytes = RAM required

  • number of vectors - This is the number of vectors you plan to index. These are the documents in your Chroma collection (or chunks if you use LlamaIndex or LangChain terminology).
  • dimensionality of vectors - This is the dimensionality of the vectors output by your embedding model. For example, if you use the sentence-transformers/paraphrase-MiniLM-L6-v2 model, the dimensionality of the vectors is 384.
  • 4 bytes - This is the size of each component of a vector. Chroma relies on HNSW lib implementation that uses 32bit floats.

Disk

Disk storage requirements mainly depend on what metadata you store and the number of vectors you index. The heuristics is at least 2-4x the RAM required for the vector HNSW index.

WAL Cleanup

Chroma does not currently clean the WAL so your sqlite3 metadata file will grow over time. In the meantime feel free to use available tooling to periodically clean your WAL - see chromadb-ops for more information.

Temporary Disk Space

Chroma uses temporary storage for its SQLite3 related operations - sorting and buffering large queries. By default, SQLite3 uses /tmp for temporary storage.

There are two guidelines to follow:

  • Have enough space if your application intends to make large queries or has multiple concurrent queries.
  • Ensure temporary storage is on a fast disk to avoid performance bottlenecks.

You can configure the location of sqlite temp files with the SQLITE_TMPDIR environment variable.

SQLite3 Temporary Storage

You can read more about SQLite3 temporary storage in the SQLite3 documentation.

CPU

There are no hard requirements for the CPU, but it is recommended to use as much CPU as you can spare as it directly relates to index and search speeds.