How the Ragwalla Assistants Compares to OpenAI Assistants

Vector Store

• Number of Vectors Per Store(5,000,000)
• Number of Vector Stores Per Assistant(∞)
• Vector Store Export
• Vector Store Copy
• Hybrid Search (Vector + Keyword)
• Vector Similarity Configuration( Cosine Similarity, Dot Product, Euclidean Distance)

Completion Models Supported w/ File Search

• gpt-4o
• gpt-4o-mini
• gpt-4-turbo
• gpt-3.5-turbo
• gpt-4
• Amazon Nova
• Anthropic
• Google Gemini
• Meta Llama
• Mistral
• X-AI
• 200+ Other Models

Embedding Models Supported

• OpenAI text-embedding-ada-002
• OpenAI text-embedding-3-large (1536 dimension)
• OpenAI text-embedding-3-small
• Google textembedding-gecko@001
• Google textembedding-gecko-multilingual@001
• Google textembedding-gecko@003
• Google text-multilingual-embedding-002
• Google text-embedding-004
• Google text-embedding-005
• Cohere embed-english-v3.0
• Cohere embed-multilingual-v3.0
• Cohere embed-english-light-v3.0
• Cohere embed-multilingual-light-v3.0
• Jina jina-clip-v2
• Jina jina-embeddings-v3
• Jina jina-embeddings-v2-base-code
• Jina jina-embeddings-v2-base-en

Support

• Direct Engineering Support

End-User Tools

• Turn-key RAG Chat Clients
• Custom Domains

Vector Store

• Number of Vectors Per Store(10,000 (docs))
• Number of Vector Stores Per Assistant(1)

Completion Models Supported w/ File Search

• gpt-4o
• gpt-4o-mini
• gpt-4-turbo
• gpt-3.5-turbo

Embedding Models Supported

• OpenAI text-embedding-ada-002

Support

End-User Tools