RAG on codebases using treesitter and LanceDB
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Nov 17, 2024 - Python
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openai-embeddings
Here are 26 public repositories matching this topic...
Harness the power of Retrieval-Augmented Generation with the Personal AI Assistant, an innovative tool designed to extract and synthesize information from web and PDF sources efficiently. This cutting-edge solution transforms complex data into concise, actionable insights, making it indispensable for researchers and professionals alike.
semantic-search vector-database large-language-models generative-ai retrieval-augmented-generation openai-embeddings
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Jun 7, 2024 - Python
Implementing LangChain concepts and building meaningful stuffs
openai flask-api assistant-chat-bots pinecone rag groq vector-database langchain langchain-python react-agents ollama langsmith openai-embeddings langchain-hub faiss-vector-database langchain-tools tavily llama3 ollama-embeddings firecrawl
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Mar 26, 2025 - Python
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Jan 27, 2024 - Python
[WORK IN PROGRESS] Complete vector search stack • Document processing pipeline • Semantic chunking • Embedding generation • Advanced retrieval strategies • Production-ready microservice
embeddings reusable-components pinecone rag vector-search huggingface vector-database qdrant openai-embeddings retrival-augmented-generation
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Jun 9, 2025 - Python
Insurance AI Assistant A smart system combining PostgreSQL, Milvus, and specialized AI agents (Life/Home/Auto) to answer insurance queries accurately. Features real-time sync, semantic search via OpenAI embeddings, and a Streamlit UI. Perfect for insurance tech demos or customer service augmentation.
python docker postgresql database-sync semantic-search real-time-data ai-agents multi-database rag milvus streamlit vector-database ai-chatbot agno llm-agents openai-embeddings groq-llm specialized-agents knowledge-agents
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Apr 29, 2025 - Python
Detailed description given in the README
objectbox rag vector-database streamlit-webapp langchain retrieval-augmented-generation openai-embeddings gpt4o gpt-4omni
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May 20, 2024 - Python
Make multiple Collections on Qdrant with Langchain & Openai
embeddings collections openai rag langchain langchain-python retrieval-augmented-generation openai-embeddings
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Mar 14, 2024 - Python
Personal Project | A personal and private recommendation engine for the internet
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Mar 17, 2024 - Python
Langchain RAG AstraDB
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Nov 5, 2024 - Python
Creates mapping table to merge 2 tables
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Nov 8, 2024 - Python
This is the backend server for LifeKb which vector embeds the journal entries.
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May 25, 2025 - Python
A RAG chatbot which enables user to chat with their pdf documents
information-retrieval chatbot nlp-machine-learning rag streamlit-application llm llama-index openai-embeddings
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Sep 30, 2024 - Python
A simple Text Embedding API Server
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Jun 16, 2025 - Python
A website that summarizes PDFs into simple paragraphs based on user's queries_using Streamlit, LangChain, OpenAI, and ChromaDB Docker Image technologies.
docker docker-compose docker-image openai streamlit openai-api langchain vector-store chromadb openai-integration openai-embeddings
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Aug 7, 2024 - Python
Successfully designed and developed a customer support chatbot that leverages LangChain and Pinecone for efficient retrieval-augmented generation (RAG), enabling intelligent and context-aware responses to user queries.
chatbots conversational-bots conversational-ai vector-database streamlit-webapp prompt-engineering langchain llm-chain retrieval-augmented-generation pineconedb openai-embeddings conversation-buffer-memory chatopenai pinecone-client conversational-retrieval-chain output-parsers character-text-splitter
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Mar 25, 2025 - Python
Chat with any website using Python and Langchain
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Apr 29, 2024 - Python
Document Retrieval System with Hybrid Embeddings using LangChain, OpenAI embeddings, FastEmbedSparse, ChatGroq.
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Jul 31, 2024 - Python
An API that generates questions, answers, explanations, and sources based on a provided PDF textbook and specified content to learn.
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Mar 2, 2025 - Python
A data-driven approach to designing an optimal Data Science curriculum. This project extracts skills from job postings, applies NLP and clustering techniques (K-Means, Hierarchical, DBSCAN), and maps industry demands to educational recommendations. Uses Python, Scikit-learn, OpenAI embeddings, and Seaborn for visualization.
python nlp machine-learning scikit-learn data-visualization seaborn edtech dbscan hierarchical-clustering k-means-clustering data-science-education clustering-algorithms openai-embeddings data-driven-decision-making skills-gap-analysis
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Mar 5, 2025 - Python
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