๐Ÿง 
Gen Ai model by Saravanan9698
0
๐Ÿง 
Model

Gen Ai

by Saravanan9698 gh-model--saravanan9698--gen_ai
Nexus Index
0.0 Top 18%
P: Popularity 0
F: Freshness 0
C: Completeness 0
U: Utility 0
Tech Context
Vital Performance
0 DL / 30D
0.0%

> *From documents to decisions โ€” powered by AI, secured locally.* **ChatBot AI** is a early stage startup comprising a powerful and private document question-answering app powered by **LLaMA 2** and **LangChain**. Upload your PDF, DOCX, or TXT files, and ask intelligent questions. All data is processed locally to maintain maximum privacy. --- - ๐Ÿ“„ Supports PDF, DOCX, and TXT files - ๐Ÿง  Local LLaMA 2 model inference (no cloud dependencies) - ๐Ÿ” Intelligent search & similarity-based retrieval -...

Source โ†’
Tiny - Params
- Context
0 Downloads
Model Information Summary
Entity Passport
Registry ID gh-model--saravanan9698--gen_ai
Provider github
๐Ÿ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{gh_model__saravanan9698__gen_ai,
  author = {Saravanan9698},
  title = {Gen Ai Model},
  year = {2026},
  howpublished = {\url{https://github.com/Saravanan9698/GEN_AI}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Saravanan9698. (2026). Gen Ai [Model]. Free2AITools. https://github.com/Saravanan9698/GEN_AI

๐Ÿ”ฌTechnical Deep Dive

Full Specifications [+]

Quick Commands

๐Ÿ™ Git Clone
git clone https://github.com/Saravanan9698/GEN_AI

โš–๏ธ Nexus Index V16.5

Methodology Index Protocol
0.0
TOP 18% SYSTEM IMPACT
Popularity (P) 0
Freshness (F) 0
Completeness (C) 0
Utility (U) 0

๐Ÿ’ฌ Index Insight

The Free2AITools Nexus Index for Gen Ai aggregates Popularity (P:0), Freshness (F:0), and Completeness (C:0). The Utility score (U:0) represents deployment readiness and ecosystem adoption.

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
---

๐Ÿš€ What's Next?

๐Ÿ“Š

Find Training Datasets

Discover datasets compatible with this model

๐Ÿ“ˆ

Compare Benchmarks

See how this model ranks on standard tests

โšก

Deployment Guide

Understand deployment options

Technical Deep Dive

๐Ÿ’ฌ ChatBot AI

From documents to decisions โ€” powered by AI, secured locally.

๐Ÿ” What is ChatBot AI?

ChatBot AI is a early stage startup comprising a powerful and private document question-answering app powered by LLaMA 2 and LangChain. Upload your PDF, DOCX, or TXT files, and ask intelligent questions. All data is processed locally to maintain maximum privacy.

๐ŸŽฏ Features

  • ๐Ÿ“„ Supports PDF, DOCX, and TXT files
  • ๐Ÿง  Local LLaMA 2 model inference (no cloud dependencies)
  • ๐Ÿ” Intelligent search & similarity-based retrieval
  • ๐Ÿ“ฆ Built with Streamlit for an interactive UI
  • ๐Ÿ–ผ๏ธ Custom dark-themed background support
  • ๐Ÿงต Efficient multi-threaded document parsing

๐Ÿš€ Getting Started

๐Ÿ“ฆ Prerequisites

  • Python 3.9+
  • Download the LLaMA 2 model from HERE!

๐Ÿ“ Folder Structure

text 
GEN_AI_FINAL_PROJECT/
โ”œโ”€โ”€ Gen_AI.py                          # Main application script
โ”œโ”€โ”€ HuggingFaceEmbeddings.ipynb        # Jupyter notebook for embedding exploration
โ”œโ”€โ”€ requirements.txt                   # Project dependencies
โ”œโ”€โ”€ evaluation_log.json                # Evaluation log file
โ”‚
โ”œโ”€โ”€ Model/                             # LLaMA model folder
โ”‚   โ””โ”€โ”€ llama-2-7b-chat.Q4_K_M.gguf    # Quantized LLaMA model file
โ”‚
โ”œโ”€โ”€ models/
โ”‚   โ””โ”€โ”€ sentence_transformers/
โ”‚       โ””โ”€โ”€ all-MiniLM-L6-v2/
โ”‚           โ”œโ”€โ”€ 1_Pooling/
โ”‚           โ”œโ”€โ”€ onnx/
โ”‚           โ”œโ”€โ”€ openvino/
โ”‚           โ”œโ”€โ”€ .cache/
โ”‚           โ”œโ”€โ”€ config_sentence_transformers.json
โ”‚           โ”œโ”€โ”€ config.json
โ”‚           โ”œโ”€โ”€ data_config.json
โ”‚           โ”œโ”€โ”€ model.safetensors
โ”‚           โ”œโ”€โ”€ modules.json
โ”‚           โ”œโ”€โ”€ pytorch_model.bin
โ”‚           โ”œโ”€โ”€ rust_model.ot
โ”‚           โ”œโ”€โ”€ sentence_bert_config.json
โ”‚           โ”œโ”€โ”€ special_tokens_map.json
โ”‚           โ”œโ”€โ”€ tf_model.h5
โ”‚           โ”œโ”€โ”€ tokenizer_config.json
โ”‚           โ”œโ”€โ”€ tokenizer.json
โ”‚           โ”œโ”€โ”€ vocab.txt
โ”‚           โ”œโ”€โ”€ README.md
โ”‚           โ””โ”€โ”€ train_script.py        # Optional training script
โ”‚
โ”œโ”€โ”€ db/
โ”‚   โ””โ”€โ”€ faiss/
โ”‚       โ”œโ”€โ”€ index.faiss                # FAISS index file
โ”‚       โ””โ”€โ”€ index.pkl                  # Serialized metadata or index data
โ”‚
โ”œโ”€โ”€ faiss_index/                       # FAISS vector store (auto-generated)
โ”‚   โ”œโ”€โ”€ index.faiss
โ”‚   โ””โ”€โ”€ index.pkl
โ”‚
โ”œโ”€โ”€ evaluation_logs/                  # Auto-generated logs
โ”‚   โ””โ”€โ”€ evaluation_results.json
โ”‚
โ”œโ”€โ”€ Images/
โ”‚   โ”œโ”€โ”€ 767.jpg
โ”‚   โ”œโ”€โ”€ ChatGPT_Image.png
โ”‚   โ””โ”€โ”€ freepik__adjust__9850.jpeg
โ”‚
โ”œโ”€โ”€ Documents/
โ”‚   โ”œโ”€โ”€ Advanced_Facts_Octopus.pdf
โ”‚   โ”œโ”€โ”€ Advanced_Velociraptor_Text.txt
โ”‚   โ”œโ”€โ”€ Dire_Wolf.docx
โ”‚   โ””โ”€โ”€ Saravanan Data Science Resume ATS match without emoji.pdf
โ”‚
โ””โ”€โ”€ env/                               # Python virtual environment
    โ”œโ”€โ”€ Include/
    โ”œโ”€โ”€ Lib/
    โ”œโ”€โ”€ Scripts/
    โ””โ”€โ”€ pyvenv.cfg

๐Ÿงฐ Installation

bash 
# Clone the repo
git clone https://github.com/yourusername/AskDocs_GEN-AI.git
cd AskDocs_GEN-AI

# (Optional) Create a virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

๐Ÿง  Usage

bash 
# Run
streamlit run app.py
  1. Upload one or more PDF, DOCX, or TXT documents.
  2. Click Start The Fun!
  3. Ask your question in natural language.
  4. Get answers with cited document sources.

๐Ÿ“ฆ Dependencies

  • streamlit
  • PyMuPDF
  • python-docx
  • docx2txt
  • requests
  • numpy
  • langchain
  • sentence-transformers
  • nltk
  • rouge-score
  • ctransformers
  • faiss-cpu
  • huggingface-hub

๐Ÿ“Ž Notes

  • You need to download and manually place the LLaMA model.
  • Ensure GPU support is configured if needed (set gpu_layers accordingly).
  • Image background is customizable โ€” make sure the image path is valid.

๐Ÿš€ Quick Start

bash 
pip install -r requirements.txt

๐Ÿ“ Limitations & Considerations

  • โ€ข Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • โ€ข VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • โ€ข FNI scores are relative rankings and may change as new models are added.
  • โš  License Unknown: Verify licensing terms before commercial use.
  • โ€ข Source: Unknown
๐Ÿ™ Data Source: GitHub โ†—
๐Ÿ”„ Daily sync (03:00 UTC)

AI Summary: Based on GitHub metadata. Not a recommendation.

๐Ÿ“Š FNI Methodology ๐Ÿ“š Knowledge Baseโ„น๏ธ Verify with original source

๐Ÿ›ก๏ธ Model Transparency Report

Verified data manifest for traceability and transparency.

100% Data Disclosure Active

๐Ÿ†” Identity & Source

id
gh-model--saravanan9698--gen_ai
source
github
author
Saravanan9698
tags
chromadbdeeplearningdoc2textembeddingsfaissgenerative-aihuggingfacelangchainllamaindexopenaiembeddingspdfplumberpineconepymupdfsentencetransformersentencetransformerembeddingsstreamlitvector-databasejupyter notebook

โš™๏ธ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
feature-extraction

๐Ÿ“Š Engagement & Metrics

likes
0
downloads
0

Free2AITools Constitutional Data Pipeline: Curated disclosure mode active. (V15.x Standard)