I will build llm and rag applications with langchain and openai


About this gig
I build LLM applications in Python - RAG systems that answer questions from your documents, semantic search, and AI assistants connected to your data. WHAT I BUILD: - RAG document Q&A - ask questions over your PDFs, docs and website content, answers with source references - Semantic search - embeddings + vector index (FAISS) over your document set - LLM integration - OpenAI API connected to your app, tool or workflow (LangChain) - Prompt design and answer testing against your own questions. HOW IT WORKS: 1. You share your documents and the questions the system must answer 2. I split, embed and index the documents 3. I connect the LLM + retrieval and test the answers 4. Delivery: working application / API + setup notes. Message me your use case first - I'll tell you plainly what can be built from your documents before you order.
Get to know Vishal Kumar
AI Chatbots Python n8n Automation ML NLP LLM RAG Voice Calls
- FromIndia
- Member sinceOct 2026
- Avg. response time1 hour
Languages
Hindi, English, German
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FAQ
What documents can I use?
PDFs, Word files, text and web pages.
Which models?
OpenAI models through the API, with LangChain. You use your own API key - provider usage is billed at cost, usually cents per query.
Do answers stay grounded in my documents?
The system retrieves from your documents and returns source references; I test it on your questions before delivery.
Can it connect to my website or app?
Premium includes a Flask API your product can call.

