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Fine tuning
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Fine tuning

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abhayishere/README.md

Abhay Yadav

Backend engineer at HDFC Bank — payment microservices (NEFT/IMPS/RTGS/UPI) in Go. Aerospike, Kubernetes, GCP. Currently building things at the intersection of Go backends and LLM tooling.

Open source

2 merged · 0 open · across 1 repos

Repo Contribution PR Status
infiniflow/ragflow ⭐91k fix(go): send Gemini system prompts via system_instruction instead of user turn #17449 ✅ Merged
infiniflow/ragflow ⭐91k fix(go): implement Anthropic streaming (ChatStreamlyWithSender) #17380 ✅ Merged

Updated 2026-09-13 · all PRs →

Building

  • Precedent — community issue-resolution search: FastAPI, pgvector/HNSW, hybrid retrieval with RRF
  • schema — LLD interview practice tool, Go + React
  • MCP servers, RAG tooling, and agent pipelines

abhay-yadav.vercel.app

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  1. infiniflow/ragflow infiniflow/ragflow Public

    RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

    Go 90.6k 10.7k

  2. DBXp DBXp Public

    A terminal-based database explorer written in Go that provides an intuitive TUI (Terminal User Interface) for managing and querying databases.

    Go

  3. Recallr Recallr Public

    Built a Retrieval-Augmented Generation (RAG) prototype for Apple Notes that enables semantic search and contextual Q&A over personal notes.

    Go

  4. funmon funmon Public

    JavaScript

  5. lokrr lokrr Public

    TypeScript