AiDB

AiDB

Belva
+
+

Related Products

  • MongoDB Atlas
    1,634 Ratings
    Visit Website
  • Amp
    86 Ratings
    Visit Website
  • Guru
    3,423 Ratings
    Visit Website
  • Veryon
    115 Ratings
    Visit Website
  • Juspay
    14 Ratings
    Visit Website
  • Pipefy
    583 Ratings
    Visit Website
  • Eldermark
    40 Ratings
    Visit Website
  • Paired Plus
    116 Ratings
    Visit Website
  • StarTree
    26 Ratings
    Visit Website
  • Fraud.net
    56 Ratings
    Visit Website

About

Belva's AiDB is an AI-optimized database designed to enhance large language models by automatically creating relational maps that make your LLM smarter with each new input, using fewer context tokens and delivering better results, all without extra tuning. In just 15 lines of code, you get a knowledge base that enhances AI performance, reduces context token use, and scales effortlessly. AiDB sets up in 5 minutes, better than custom RAG systems. One API key does it all with AiDB. Switch to AiDB & see your LLM’s get more done with just 15 lines of code. At Belva, we’ve reimagined how AI uses data. With our unique indexing and relational mapping, context windows are nearly obsolete. Integrate AiDB into your stack, and watch your AI soar. If your AI uses or needs a knowledge base, it needs AiDB. Better performance means less waste at scale.

About

VectorDB is a lightweight Python package for storing and retrieving text using chunking, embedding, and vector search techniques. It provides an easy-to-use interface for saving, searching, and managing textual data with associated metadata and is designed for use cases where low latency is essential. Vector search and embeddings are essential when working with large language models because they enable efficient and accurate retrieval of relevant information from massive datasets. By converting text into high-dimensional vectors, these techniques allow for quick comparisons and searches, even when dealing with millions of documents. This makes it possible to find the most relevant results in a fraction of the time it would take using traditional text-based search methods. Additionally, embeddings capture the semantic meaning of the text, which helps improve the quality of the search results and enables more advanced natural language processing tasks.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI developers wanting a tool to optimize their LLMs' performance

Audience

Anyone in need of a tool to save, search, store, manage, and retrieve text

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Belva
United States
www.belva.ai/aidb

Company Information

VectorDB
United States
vectordb.com

Alternatives

Alternatives

Categories

Categories

Integrations

Belva Engineer
Lamatic.ai
Python

Integrations

Belva Engineer
Lamatic.ai
Python
Claim AiDB and update features and information
Claim AiDB and update features and information
Claim VectorDB and update features and information
Claim VectorDB and update features and information