You will get large scale vector search engine for closest matches in millions of records


Project details
If your vector search operation in millions of records is taking longer than you expected and you want to optimize the performance of your search system then you have come to the right place.
Based on your database of vectors following steps will be taken to optimize your search operation:
Step 1: FAISS Index will be created based on the database of records
Step 2: Search the query and retrieve k nearest neighbors
For those who want to build an advanced NLP search engine to search in text documents, Following steps will be taken:
Step 1: Pre-process text documents
Step 2: Convert text documents into vectors based text embeddings like word2vec, GLoVe etc.
Step 3: Load the vectors and build FAISS index
Step 4: Search the query and retrieve the best match in miliseconds
Based on your database of vectors following steps will be taken to optimize your search operation:
Step 1: FAISS Index will be created based on the database of records
Step 2: Search the query and retrieve k nearest neighbors
For those who want to build an advanced NLP search engine to search in text documents, Following steps will be taken:
Step 1: Pre-process text documents
Step 2: Convert text documents into vectors based text embeddings like word2vec, GLoVe etc.
Step 3: Load the vectors and build FAISS index
Step 4: Search the query and retrieve the best match in miliseconds
AI Development Type
Knowledge Representation, Recommendation SystemAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$200
|
Standard
$350
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 1 | 3 | 5 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | - | - |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $150
Additional Revision
+$50About Ankur
Data Scientist || Machine Learning Engineer || NLP Expert
Gurgaon, India - 5:02 am local time
I have worked and completed projects related to:
• Text Classification
• Named Entity Recognition
• Sentiment Analysis using BERT embeddings
• FAQ-based ChatBot using SBERT
• Flow based ChatBot using RASA
• Loan Default Prediction using LGBM
• EMI Default Prediction
• Knowledge Graph based Chatbot
• OCR
• Object Detection (Yolov5 ... v8) and Image Classification (ResNet50, EfficientNet etc.)
• Document Question Answering using PrivateGPT
• Fine tuning Stable Diffusion using LoRa and DreamBooth
I use Python programming language to solve machine learning problems.
Python tools and libraries I am having hands-on experience:
• Pandas, Matplotlib, Seaborn, Plotly, Scikit-learn, Spacy, Gensim, NLTK, Pytesseract, Paddle,
face_recognition, OpenCV, Huggingface, Transformers, PySpark
• Tensorflow, Keras, Pytorch
• Flask, Streamlit
• AWS, Azure, GCP
Demo Projects: github.com/theankurai/
Steps for completing your project
After purchasing the project, send requirements so Ankur can start the project.
Delivery time starts when Ankur receives requirements from you.
Ankur works on your project following the steps below.
Revisions may occur after the delivery date.
Once I have received the requirements, I will start working on the project.