RAG-Powered AI Chat: Intelligent Search for Sites & DatabasesAtsushi Morishita
Transform your static data into an interactive knowledge base. I build custom RAG (Retrieval-Augmented Generation) pipelines that allow AI agents to search through your specific website content, documents, and databases to provide accurate, real-time answers.
Unlike standard AI chats, this system is grounded in your data, eliminating hallucinations and ensuring users find exactly what they need through natural language.
Key Features of this Service:
Custom Data Integration: Seamlessly connect AI with your existing CMS, documentation, or SQL/NoSQL databases.
Advanced Vector Search: Implementation of high-performance vector databases (like Pinecone, Weaviate, or pgvector) for lightning-fast information retrieval.
Optimized RAG Pipeline: Engineered using Python and frameworks like LangChain or LlamaIndex to ensure the AI retrieves the most relevant context before generating a response.
Seamless Web UI: A clean, responsive chat interface that can be embedded into any existing site or paired with a 3D Spatial environment.
Source Transparency: The AI provides citations and direct links to the source material, building user trust and data verifiability.
[Option] Integration with 3D environments for spatial data discovery
[Option] A responsive interface that supports switching between typing and speaking, ensuring accessibility and ease of use across all devices.
Ideal for:
Corporate Knowledge Bases: Helping employees find info in internal docs.
E-commerce: Smart product discovery based on complex catalogs.
Customer Support: Automated agents that actually know your product manual.
Starting at$1,500
Duration3 weeks
Tags
Python
TypeScript
AI Application Developer
Database Engineer
Fullstack Engineer
Service provided by
Atsushi Morishita Long Khanh, Vietnam
RAG-Powered AI Chat: Intelligent Search for Sites & DatabasesAtsushi Morishita
Starting at$1,500
Duration3 weeks
Tags
Python
TypeScript
AI Application Developer
Database Engineer
Fullstack Engineer
Transform your static data into an interactive knowledge base. I build custom RAG (Retrieval-Augmented Generation) pipelines that allow AI agents to search through your specific website content, documents, and databases to provide accurate, real-time answers.
Unlike standard AI chats, this system is grounded in your data, eliminating hallucinations and ensuring users find exactly what they need through natural language.
Key Features of this Service:
Custom Data Integration: Seamlessly connect AI with your existing CMS, documentation, or SQL/NoSQL databases.
Advanced Vector Search: Implementation of high-performance vector databases (like Pinecone, Weaviate, or pgvector) for lightning-fast information retrieval.
Optimized RAG Pipeline: Engineered using Python and frameworks like LangChain or LlamaIndex to ensure the AI retrieves the most relevant context before generating a response.
Seamless Web UI: A clean, responsive chat interface that can be embedded into any existing site or paired with a 3D Spatial environment.
Source Transparency: The AI provides citations and direct links to the source material, building user trust and data verifiability.
[Option] Integration with 3D environments for spatial data discovery
[Option] A responsive interface that supports switching between typing and speaking, ensuring accessibility and ease of use across all devices.
Ideal for:
Corporate Knowledge Bases: Helping employees find info in internal docs.
E-commerce: Smart product discovery based on complex catalogs.
Customer Support: Automated agents that actually know your product manual.
$1,500