We can fix your RAG
AI chatbot
Do you want 97% accuracy for your generative AI answers? you need better data retrieval based on NER and classification
Why we can fix your RAG chatbot?
1
5+ years experience in Document AI data extraction
You need better KB in order to get better answers from your documents, data must be structured
2
We treat LLM as a display feature, not as magic
Garbage in, Garbage out. How do you want LLM to answer, if you don't give it the right context
3
Structured Documents, not chunks without context
Naive RAG split information based on random 200-2000 characters, we use NER to stored your data
4
Not a one solution fit all, we create custom solutions
Some queries require augmentation, some require followup questions, we take care of quality answers
5
No Hallucinations
Problem
we ensure that the AI's responses are consistently aligned with its data, using advanced guardrails
6
Answers with Citations and Sources
When asked a question, it shows the source links from which the response was constructed.
Our projects
RAG problems we can solve
  • AI chatbot can not work with excel files or big MySQL databases
    We create custom functions to handle different types of excel files, then use classification and NER to identify which function and with what parameters to use it to get the context from the excel files to create the answer.
  • Answers are not complete because the chunks split the correct answer
    We use NER and classification to classify concept like guides, rapports, products, then extract properties like prices, dates, features, description, titles etc. We do the same with user queries, and filter the dataset in order to retrieve the complete answer.
  • Our chatbot can not answer sorting queries like "latest rapport insight"
    We use NER to extract information like dates, total, prices, quantity etc, then we classify the query to identify what documents and how they must be filtered and sorted. We create custom NER / classification models.
I usually take on RAG (Retrieval Augmented Generation) projects that other programmers tried to solve using advanced LangChain functions but didn't succeed. I use NER and classification to make robust AI search systems.
Ion Mosnoi Founder and Machine Learning Engineer
Made on
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