Introducing NeuralDB: Generative search on your private data
No GPUs Needed. 100% Private. Perpetually Fine-tunable
How it works?
Build a private LLM powered search application with minimum configuration and no specialized resources
- Pre training on raw text.
- No embeddings needed.
- Push button fine tuning
- Data residency
- Sub millisecond retrieval latency
- Outperforms best-in-class semantic search with fine-tuning. Learn More
Deploy in minutes
Easy to use APIs.
No code UI – direct document upload
pip3 install thirdai db = ndb.NeuralDB(user_id="my_user") pdf_files = ['data/sample_nda.pdf'] source_ids = db.insert(pdf_files, train=True) search_results = db.search( query="what is the termination period", top_k=2)
Unlocking the Power of CPUs for Generative AI
Personalized LLM for your knowledge base
Upload your documents and make them instantly searchable without the need for pre training or rules configuration
Privacy and data residency
No data leaves the enterprise or is stored on any public or third party servers. All queries and documents are entirely private
Perpetually Fine tunable
Fine tune the model with push button convenience using our AutoTune API capabilities.
Product Catalog Search
NeuralDB intuitively understands and processes user queries, offering highly relevant results even with vague or partial information. Its powerful neural networks delve into the nuanced meanings behind words, ensuring a smarter, more accurate search experience.
We have developed NeuralDB, a perpetually adaptive and personalized LLM powered generative search platform that avoids hallucination, can be customized to any domain and document type, preserves data privacy and residency, and provides users with access control to information processed by the information retrieval model.
Read the 3 part blog series to learn how NeuralDB addresses the main challenges with adopting and scaling LLMs for search.