Large Language Models

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  • How do you use LangChain to build a Text-to-SQL solution? What are the challenges? How to solve it? (link)

  • The 4 Advanced RAG Algorithms You Must Know to Implement (link)

  • ChatGPT vs Claude 3 — Which is better for text-to-SQL (link)

  • Build an Advanced Reranking-RAG System Using Llama-Index, Llama 3 and Qdrant (link)

  • Top 4 Challenges using RAG with LLMs to Query Database (Text-to-SQL) and how to solve it. (link)

  • Improved RAG with Llama3 and Ollama (link)

  • Chat with your SQL database using Claude 3 (link)

  • PG Phriday: Papa’s Got a Brand New RAG (link)

  • Using DuckDB + Ibis for RAG (link)

  • DuckDB-NSQL: How to Quack in SQL (link)

  • Build End-to-End RAG Pipeline with Monitoring and Evaluation using Langchain, Azure AI Search, OpenAI, Langfuse, Nemo-gaurdrails, ragas (link)

  • Detecting fraud in real time using Redpanda and Pinecone (link)

  • Retrieval Augmented Generation(RAG) — Chatbot for database with LlamaIndex (Text2SQL) (link)

  • SQLCoder-2–7b: How to Reliably Query Data in Natural Language, on Consumer Hardware (link)

  • Fine-Tuning Mistral 7B for Named Entity Recognition (NER) (link)

  • Analyze Structured Data (extracted from Unstructured Text) using LLM Agents (link)

  • Transforming Text Classification with Semantic Search Techniques — Faiss (link)

  • Extract Structured Data from Unstructured Text using LLMs (link)

  • Code Generation using Retrieval Augmented Generation + LangChain (link)

  • Open-DocLLM (link)

  • PostgreSQL as Vector database: Create LLM Apps with pgvector (link)

  • A Very Gentle Introduction to Large Language Models without the Hype (link)

  • RAG Vs VectorDB (link)

  • How we built Text-to-SQL at Pinterest (link)

  • Simplifying RAG with PostgreSQL and PGVector (link)

  • CodeLlama 70B (link)

  • Open-sourcing SQLCoder-70B, the state of the art in text to SQL generation (link)

  • Advanced RAG Techniques: an Illustrated Overview (link)

  • Geospatial Vector Search: Building an AI-Powered Geo-Aware News Search (link)
  • SQL queries + pgvector: Retrieval Augmented Generation in PostgreSQL (link)
  • Distributed queries for pgvector (link)
  • How To Improve Your LLM Accuracy and Performance With PGVector and PostgreSQL: Introduction to Embeddings and the Role of PGVector (link)
  • LLMs Meet SQL: Revolutionizing Data Querying with Natural Language Processing (link)
  • Integrating Vector Databases with LLMs: A Hands-On Guide (link)
  • Speed up PostgreSQL pgvector queries with indexes (link)

  • LangChain SQL Agent for Massive Documents Interaction (link)

  • Build a question-answer bot natively using Postgres extensions (link)
  • PostgreSQL as a Vector Database: Create, Store, and Query OpenAI Embeddings With pgvector (link)
  • Unleashing the power of vector embeddings with PostgreSQL (link)
  • Use pgvector and Hugging Face to Build an Optimized FAQ Search with Sentence Similarity (link)
  • AI-Enabled Search Engine using LLM Embeddings, Django, and pgvector (link)
  • Why we replaced Pinecone with PGVector (link)
  • How to use Mixtral -8x7B for Text-to-SQL (link)
  • SQLCoder-70B (link)
  • An AI application that can chat with with very large SQL databases. (link)
  • Cheshire-Cat plugin SQL (link)
  • Building Your Own Text-to-SQL: Steps And Requirements (link)
  • Can LLMs Replace Data Analysts? Building An LLM-Powered Analyst (link)
  • Can LLMs Replace Data Analysts? Getting Answers Using SQL (link)
  • Core RAG Architecture with AlloyDB AI (link)
  • Forget RAG: Embrace agent design for a more intelligent grounded ChatGPT! (link)
  • What Is LangChain? (link)
  • Generative AI with SQL — First Impressions (link)

chatgpt

  • gptsql (link)
  • Use ChatGPT to Query Your Neo4j Database (link)
  • Generating Cypher Queries With ChatGPT 4 on Any Graph Schema (link)
  • Exploring Data Modelling with ChatGPT (link)
  • What Are ChatGPT Plugins? The Next Phase of Conversational AI Is Here (link)
  • Anomaly Detection in Time Series using ChatGPT (link)
  • Chat with your databases using LangChain (link)
  • Making a Production LLM Prompt for Text-to-SQL Translation (link)
  • Introducing NSQL: Open-source SQL Copilot Foundation Models (link)
  • Introducing DataLang — Ask questions to your Database in Natural Language (link)
  • GPT-4’s SQL Mastery (link)

Llama

  • Multimodal RAG pipeline with LlamaIndex and Neo4j (link)

ollama

langchain

  • Neo4j x LangChain: Deep dive into the new Vector index implementation (link)
  • Explore OpenAI vector embedding with Neo4j, LangChain, and Wikipedia (link)
  • Build your own RAG with Mistral-7B and LangChain (link)

text to sql

  • SQL Assistant: Text-to-SQL Application in Streamlit (link)
  • Introducing NSQL: Open-source SQL Copilot Foundation Models (link)
  • NSQL git (link)
  • AI-Powered Text-to-SQL Translation in (link) (link)

Vanna

  • Vanna: The Supercharged Text-to-SQL Tool All Data Analyst Were Looking For (link)
  • Build a Chatbot for your SQL database in 20 lines of Python using Streamlit and Vanna (link)
  • Chat with your SQL Database using Llama 3 (link)
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