algo saali

algo saali

Bangalore, India

algo saali

AI chatbots, RAG-Langchain/llamaindex, MCP
I will build custom AI chatbots and intelligent AI agents
tailored to your business needs using modern LLM frameworks like LangChain, LlamaIndex, RAG (Retrieval-Augmented Generation)CrewAI, and MCP. I will build an AI that can watch your meeting videos and write minutes automatically.

If you are looking to:
Automate customer support
Create a chatbot trained on your PDFs / documents
Build RAG-based knowledge chatbots
Develop multi-agent AI systems for automation
Finance Tools-Stock Market Analysis, Crypto Tracking

What I Can Build For You:
Custom AI Chatbots (API-based or backend)
RAG Chatbots (PDF, Docs, Knowledge Base)
LangChain & LlamaIndex pipelines
Multi-agent systems using CrewAI / MCP
AI integrations with existing apps or workflows
All solutions are scalable, clean, and production-ready.
Cloud-based Deployment (streamlit, google cloud, AWS....)
Agno-(Video Analysis AI + Financial AI Agent + Summarize video file and audio file)

Why Choose Me?
Clean and structured AI solutions
Focus on real business use cases
Fast communication & clear delivery but professional execution

Working hours

  • Monday:08h00 To 18h00
  • Tuesday:08h00 To 18h00
  • Wednesday:08h00 To 18h00
  • Thursday:08h00 To 18h00
  • Friday:08h00 To 18h00
  • Saturday:Not available
  • Sunday:Not available
LexiSearch Hybrid: Combines (Law)
The client was a corporate consultancy firm that handled statutory documents (like the Company Law document .etc..). They needed a way for their junior associates to quickly query internal legal precedents and compliance PDF documents while staying updated on real-time regulatory changes from the web.

Technical Highlights:
*LLM Stack: Integrated with OpenAI/Anthropic via LangChain for logic and reasoning.
*Vector Store: Utilized a local vector database for fast, secure embedding retrieval.
*Web Integration: Integrated Tavily/Serper APIs for filtered, high-authority web searching.
*UI/UX: Developed a clean, dark-mode Streamlit/React interface featuring automated ingestion progress bars and collapsible source references.
  • 🇬🇧 English
  • 🇮🇳 Hindi
  • 🇲🇦 Arabic
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