Private Knowledge based - Personalized AI ChatbotHiren F
This service provides a complete AI-powered knowledge system that delivers accurate and context-aware answers from your internal content.
By combining a powerful RAG pipeline with embeddings, secure access control, and an advanced chatbot interface, your team gains an always-available assistant for research, support, operations, and productivity.
What's included
Centralized Knowledge Repository
A structured, searchable system that stores your documents, transcripts, tickets, and internal information in a unified interface.
RAG Retrieval Pipeline
A custom-built pipeline using pgVector, Pinecone, Qdrant, MongoVector or Redis to retrieve accurate, context-aware information from your data.
AI Chatbot with Contextual Understanding
A fully customized chatbot that answers queries using your knowledge base with multi-turn memory and role-aware responses.
Document Ingestion & Embedding Engine
Automated pipelines for cleaning, chunking, embedding, and indexing documents for high-quality retrieval.
Role-Based Access Controls
Permission-aware retrieval ensuring users only access information they are allowed to see.
Frontend Chat Interface & Embeddable Widget
Interactive chat UI built with React or Next.js that can be added to your product, dashboard, or internal tool.
Admin Panel & Content Management
Dashboard for adding documents, reviewing embeddings, managing permissions, and tracking chatbot usage.
API Integration Layer
REST or GraphQL endpoints for integrating the chatbot with your internal systems or external applications.
Cloud Deployment & Monitoring
Secure deployment on AWS with logging, monitoring, autoscaling, and optimization for query performance.
Documentation & Onboarding Guides
Clear instructions for your team on managing documents, workflows, and monitoring the performance of your RAG system.
FAQs
PDFs, Word files, Google Docs, Notion pages, tickets, wikis, email threads, spreadsheets, transcripts, and custom databases.
Yes. I implement RBAC, data isolation, encrypted storage, audit logging, and tenant-level separation.
Yes. Automated document ingestion pipelines can be set up to update embeddings and content in real time.
Absolutely. I support vLLM, Ollama, or custom model hosting for companies needing full data control.
Hiren's other services
Starting at$35 /hr
Tags
ChatGPT
LangChain
LlamaIndex
Node.js
Python
AI Chatbot Developer
AI Engineer
Conversational AI Developer
Service provided by
Hiren F Surat, India
- 5.00
- Rating
- 5
- Followers
Private Knowledge based - Personalized AI ChatbotHiren F
Starting at$35 /hr
Tags
ChatGPT
LangChain
LlamaIndex
Node.js
Python
AI Chatbot Developer
AI Engineer
Conversational AI Developer
This service provides a complete AI-powered knowledge system that delivers accurate and context-aware answers from your internal content.
By combining a powerful RAG pipeline with embeddings, secure access control, and an advanced chatbot interface, your team gains an always-available assistant for research, support, operations, and productivity.
What's included
Centralized Knowledge Repository
A structured, searchable system that stores your documents, transcripts, tickets, and internal information in a unified interface.
RAG Retrieval Pipeline
A custom-built pipeline using pgVector, Pinecone, Qdrant, MongoVector or Redis to retrieve accurate, context-aware information from your data.
AI Chatbot with Contextual Understanding
A fully customized chatbot that answers queries using your knowledge base with multi-turn memory and role-aware responses.
Document Ingestion & Embedding Engine
Automated pipelines for cleaning, chunking, embedding, and indexing documents for high-quality retrieval.
Role-Based Access Controls
Permission-aware retrieval ensuring users only access information they are allowed to see.
Frontend Chat Interface & Embeddable Widget
Interactive chat UI built with React or Next.js that can be added to your product, dashboard, or internal tool.
Admin Panel & Content Management
Dashboard for adding documents, reviewing embeddings, managing permissions, and tracking chatbot usage.
API Integration Layer
REST or GraphQL endpoints for integrating the chatbot with your internal systems or external applications.
Cloud Deployment & Monitoring
Secure deployment on AWS with logging, monitoring, autoscaling, and optimization for query performance.
Documentation & Onboarding Guides
Clear instructions for your team on managing documents, workflows, and monitoring the performance of your RAG system.
FAQs
PDFs, Word files, Google Docs, Notion pages, tickets, wikis, email threads, spreadsheets, transcripts, and custom databases.
Yes. I implement RBAC, data isolation, encrypted storage, audit logging, and tenant-level separation.
Yes. Automated document ingestion pipelines can be set up to update embeddings and content in real time.
Absolutely. I support vLLM, Ollama, or custom model hosting for companies needing full data control.
Hiren's other services
$35 /hr