You will get a RAG Pipeline & AI Knowledge Base Using LangChain, Pinecone & OpenAI
Top Rated
Project details
Transform your documents into an intelligent, searchable AI knowledge base. I build custom RAG (Retrieval-Augmented Generation) pipelines that let your team or customers ask questions and get accurate, sourced answers from your own data. Using LangChain, Pinecone/Weaviate, and OpenAI/Claude, I create production-grade systems that ingest PDFs, websites, databases, and more. Every pipeline includes semantic search, document chunking optimization, re-ranking, and a clean chat interface. I handle the full stack from data ingestion to deployment, with clean documentation and maintainable code. Whether you need a simple Q&A bot over internal docs or a full enterprise knowledge system with auth, analytics, and auto-ingestion — I deliver scalable, accurate RAG solutions.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Hugging Face, StreamlitAI Models
ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,200
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 28 days |
Number of Revisions | 2 | 3 | 5 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | |||
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | ||
Model Documentation | |||
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | - | - | - |
Source Code | - | - | - |
Frequently asked questions
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AS
Avatar S.
Jan 3, 2024
UCode Development & Defect Resolution
We are very happy working with Hepi and will definitely work with him in the future.
RG
Richa G.
Jun 19, 2023
Sr Java Developer Required
"It was really great working with Hepi, and I will look to hire him again. 5 Stars all around."
About Hepi
Sr. Java Spring Boot Developer | React | Microservice | REST API | AWS
100%
Job Success
Bengaluru, India - 2:13 am local time
I specialize in:
- Java/Spring Boot backend development & REST API design
- Microservices architecture with Docker & Kubernetes
- Cloud deployment on AWS (EC2, S3, Lambda, RDS)
- Frontend development using React, Redux, Angular, TypeScript
- Database optimization (PostgreSQL, MySQL, MsSQL, Oracle, Sybase, MongoDB, Apache Solr, Redis, Elasticsearch, DynamoDB)
- Event-driven systems with Apache Kafka & RabbitMQ
- CI/CD pipelines with Jenkins, Maven & Git
Projects I've delivered include real-time analytics platforms, fintech payment systems, e-commerce backends, and enterprise SaaS applications — all built for high availability and performance at scale.
Top Rated Plus on Upwork (Top 3%) | 100% Job Success | Toptal Qualified (Top 3% Global Talent)
If you need a reliable Java developer to architect and deliver production-ready backend systems, let's connect.
Steps for completing your project
After purchasing the project, send requirements so Hepi can start the project.
Delivery time starts when Hepi receives requirements from you.
Hepi works on your project following the steps below.
Revisions may occur after the delivery date.
Data Assessment & Architecture Design
I review your data sources, document types, and use case to design the optimal RAG architecture including embedding model, vector DB, and chunking strategy.
RAG Pipeline Development & Integration
I build the ingestion pipeline, configure embeddings, set up the vector database, implement semantic search with re-ranking, and develop the chat interface or API.