NeuralDB Python APIDocs: The Most Comprehensive Semantic Search Library for Enterprise Python Developers. No GPUs Needed

We previously delved into NeuralDB Technology in a blog post, showcasing its prowess as the next-generation semantic search system. This innovative technology embraces the ‘learning to index’ concept, eliminating the need for storing and processing embeddings.

Excitingly, we’re now unveiling the comprehensive list of APIs supported by NeuralDB. These fully auto-tuned APIs empower Python developers to effortlessly construct advanced semantic retrieval systems with just a few API calls. The APIs also boast auto-scaling capabilities, streamlining the scaling process by allowing NeuralDB to manage it with the allocated CPU cores.

Here’s a snapshot of the distinctive features offered by ThirdAI’s Python library:

1. Local fully auto-tuned APIs — Simplifying the RAG pipeline with minimal configuration hassle.
2. Auto-scaling across commodity clusters — NeuralDB adapts seamlessly to varying workloads.
3. Quick installation anywhere — Whether on cloud CPUs or on-prem local clusters, NeuralDB installs within minutes.
4. Automatic pre-training on inserted text — Facilitating domain specialization instantly upon text insertion is crucial. [Here] is a case study illustrating why pretraining is necessary.
5. Perpetual improvement through user feedback — Enhancing search refinement based on implicit or explicit user input is crucial. [Here] is a case study highlighting why, without user-driven feedback, search functionality is unlikely to meet expectations
6. No worries about rate limitations on Embeddings or VectorDB — NeuralDB operates locally and auto-scales efficiently, eliminating the need for embeddings or VectorDB.
7. Keep your data in place — NeuralDB minimizes data movement and copying, designed for scalability and production readiness.

Discover more about NeuralDB’s capabilities and installation process [here]. Don’t relocate your data for AI; let AI come to your data with NeuralDB’s efficiency.

Explore the APIdocs [here]. Summary of APIs [here]

The ThirdAI Challenge: Nowhere else will you encounter a semantic search library boasting such advanced AI/LLM capabilities. Pause and reconsider — have you ever witnessed: 1. Hyperpersonalization of LLMs, 2. Domain specialization through pre-training and fine-tuning, 3. Auto-scaling, 4. Auto-tuned APIs, and 5. Constraint Search?

The true democratization of AI/LLM is here: Have text? Make it instantly searchable with no compromise on data privacy. Hyperpersonalize the search index for diverse users. It’s a platform for everyone to build and refine, even non-ML experts. Importantly, there’s no expensive infrastructure barrier to entry, making it accessible at scale for everyone.