About the program

Ticket Contents Description The service here is a RAG based virtual assistant which can be finetuned for user specific requirements The bot uses preloaded documents like pdf audio video etc which on the basis of similarity search provides specific information along with the source of information Currently the bot uses these documents and GPT to provide the condensed responses For this issue we want to cache the GPT responses along with the documents as short term long term memory so that we can use these responses to provide more improved and customised responses Goals MidPoint Milestone Goals 1.Setting up a caching layer Goal 1 2.Moving system cache into a vector DB Goal 2 3.Implementing retrieval from cached documents using similarity search Goal 3 4.Dockerization of service developed so far Goals Achieved By Midpoint Milestone Implementation Details Redis for building a caching layer Marqo DB as our primary vector DB and llm based vector similarity search FAISS based similarity search Docker for containerization and deployment Introducion to microservices Introduction to Kubernetes

Perks

1. Lucrative stipend of INR 1 lakh over a period of 3 months 2. Dedicated 1 on 1 mentorship by industry experts 3. Handson experience to hone your skills 4. Access to bootcamps and expert sessions 5. Potential job extended internship opportunities 6. Opportunity to network with global opensource tech leaders

Who can apply?

Only those candidates can apply who:

1. are from Any,
2. and specialisation from Any,
3. are available for duration of 3 Months
4. have relevant skills and interests

Terms of Engagement

1. 50000 received on completion of midpoint milestone as decided with mentor 2. 50000 received on completion of final milestone as decided with mentor 3. Certificate of completion received on successful completion of internship

Number of openings

1