feat: Added resource requirement calculations.

Author: tazarov

docs/core/resources.md

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+# How Much Resources Do you Need to Run Chroma
+
+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.
+
+!!! note "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](https://github.com/amikos-tech/chromadb-ops) for more information.
+
+## 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.