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features
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support

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Description

LlamaIndex serves as a versatile "data framework" designed to assist in the development of applications powered by large language models (LLMs). It enables the integration of semi-structured data from various APIs, including Slack, Salesforce, and Notion. This straightforward yet adaptable framework facilitates the connection of custom data sources to LLMs, enhancing the capabilities of your applications with essential data tools. By linking your existing data formats—such as APIs, PDFs, documents, and SQL databases—you can effectively utilize them within your LLM applications. Furthermore, you can store and index your data for various applications, ensuring seamless integration with downstream vector storage and database services. LlamaIndex also offers a query interface that allows users to input any prompt related to their data, yielding responses that are enriched with knowledge. It allows for the connection of unstructured data sources, including documents, raw text files, PDFs, videos, and images, while also making it simple to incorporate structured data from sources like Excel or SQL. Additionally, LlamaIndex provides methods for organizing your data through indices and graphs, making it more accessible for use with LLMs, thereby enhancing the overall user experience and expanding the potential applications.

Description

VATES stores knowledge as plain structured text rather than as vectors. There is no embedding pipeline, no vector database and no re-ranking stage — a query is scored against the text directly and the top matches go to the model. Nothing is precomputed, so nothing needs rebuilding when the knowledge changes; editing a line takes effect on the next request. This removes an entire tier of infrastructure. No Pinecone, no Weaviate, no pgvector, no GPU, no per-call embedding API. Fewer moving parts, fewer failure points, lower cost. Deleted content is actually gone, verifiable by reading the file. Deployment is an embed snippet or a direct HTTP API with idempotency keys and per-tenant rate limiting. Authentication is WebAuthn/FIDO2 passkeys, TOTP or password. Console, docs and site ship in 23 languages across 9 writing systems; replies are not restricted to that set. Prepaid, usage-based, no seats, no subscription.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Claude Yes 
AG-UI Yes 
Arize AI Yes 
Cake AI Yes 
Chainlit Yes 
Databricks Yes 
Ejentum Yes 
GuardionAI Yes 
Keenable Yes 
Model Context Protocol (MCP) Yes 
Muse Spark Yes 
Muse Spark 1.1 Yes 
Muse Spark 1.2 Yes 
NVIDIA Blueprints Yes 
Notion Yes 
OpenAI Yes 
OrcaRouter Yes 
Slack Yes 

Integrations

Claude Yes 
AG-UI No 
Arize AI No 
Cake AI No 
Chainlit No 
Databricks No 
Ejentum No 
GuardionAI No 
Keenable No 
Model Context Protocol (MCP) No 
Muse Spark No 
Muse Spark 1.1 No 
Muse Spark 1.2 No 
NVIDIA Blueprints No 
Notion No 
OpenAI No 
OrcaRouter No 
Slack No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$5 deposit, pay-as-you-go
Usage-based prepaid deposit. No subscription, no monthly minimum,
no cancellation fee. $5.00 minimum per top-up. Billed per request
from the balance. Current rates are listed on the pricing page.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

LlamaIndex

Country

United States

Website

www.llamaindex.ai/

Vendor Details

Company Name

STANDOUT Inc.

Founded

2024

Country

Japan

Website

vates.standout.jp/

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