[CLEANUP]

README.md

@@ -34,6 +34,18 @@
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+Here's a more detailed and larger table with descriptions and website links for each RAG system:
+
+| **RAG System** | **Status**  | **Description**                                                                 | **Documentation**                                     | **Website**                      |
+|----------------|-------------|---------------------------------------------------------------------------------|-------------------------------------------------------|----------------------------------|
+| **ChromaDB**   | Available   | A high-performance, distributed database optimized for handling large-scale AI tasks. | [ChromaDB Documentation](swarms_memory/memory/chromadb.md) | [ChromaDB](https://chromadb.com) |
+| **Pinecone**   | Available   | A fully managed vector database that makes it easy to add vector search to your applications. | [Pinecone Documentation](swarms_memory/memory/pinecone.md) | [Pinecone](https://pinecone.io) |
+| **Redis**      | Coming Soon | An open-source, in-memory data structure store, used as a database, cache, and message broker. | [Redis Documentation](swarms_memory/memory/redis.md) | [Redis](https://redis.io)       |
+| **Faiss**      | Coming Soon | A library for efficient similarity search and clustering of dense vectors, developed by Facebook AI. | [Faiss Documentation](swarms_memory/memory/faiss.md) | [Faiss](https://faiss.ai)       |
+| **HNSW**       | Coming Soon | A graph-based algorithm for approximate nearest neighbor search, known for its speed and accuracy. | [HNSW Documentation](swarms_memory/memory/hnsw.md)   | [HNSW](https://github.com/nmslib/hnswlib) |
+
+This table includes a brief description of each system, their current status, links to their documentation, and their respective websites for further information.
+
 
 ### Requirements:
 - `python 3.10` 
@@ -45,6 +57,8 @@ $ pip install swarms-memory
 ```
 
 
+
+
 ## Usage
 
 ### Pinecone