scikit-learn
DocArray HnswSearch
MyScale
ClickHouse
Qdrant
Tigris
Supabase (Postgres)
OpenSearch
Pinecone
Azure Cognitive Search
Cassandra
USearch
Milvus
Elasticsearch
DocArray InMemorySearch
Postgres Embedding
Faiss
Epsilla
AnalyticDB
Hologres
MongoDB Atlas
Meilisearch
Loading documents from a YouTube url
Psychic
Docugami
LLM Caching integrations
Set env var OPENAI_API_KEY or load from a .env file:
Set env var OPENAI_API_KEY or load from a .env file
Question Answering
Perform context-aware text splitting
Conversational Retrieval Agent
Retrieve from vector stores directly
Retrieve as you generate with FLARE
Improve document indexing with HyDE
Analysis of Twitter the-algorithm source code with LangChain, GPT4 and Activeloop’s Deep Lake
Use LangChain, GPT and Activeloop’s Deep Lake to work with code base
Structure answers with OpenAI functions
QA using Activeloop’s DeepLake
Agents
AutoGPT
BabyAGI User Guide
BabyAGI with Tools
!pip install bs4
Plug-and-Plai
SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base
Custom Agent with PlugIn Retrieval
Generative Agents in LangChain
SQL
Indexing
Caching
MultiVector Retriever
MultiQueryRetriever
Parent Document Retriever
WebResearchRetriever
Supabase
Deep Lake
Memory in the Multi-Input Chain
Combine agents and vector stores
Custom agent with tool retrieval
Select by maximal marginal relevance (MMR)
Few-shot examples for chat models
Loading from LangChainHub
First we add a step to load memory