| May. 2023 |
LangChain Agents Webinar |
1gRlCjy18m4 |
| May. 2023 |
LangChain Output Parsing and Extraction Webinar |
fLn-WqliEQU |
| May. 2023 |
LangChain Document Question-Answering Webinar |
ywT-5yKDtDg |
| May. 2023 |
LangChain SQL Webinar |
GrCFyyyAxCU |
| May. 2023 |
Chat With Your Documents Using LangChain + JavaScript |
AKsfHK_4tf4 |
| May. 2023 |
LangChain Prompt Injection Webinar |
fP6vRNkNEt0 |
| May. 2023 |
LangChain Low-Code/No-Code Webinar |
qWv2vyOX0tk |
| May. 2023 |
LangChain "Agents in Production" Webinar |
k8GNCCs16F4 |
| May. 2023 |
LangChain "Hallucinations in Document Question-Answering" Webinar |
QDsE6vYA82A |
| May. 2023 |
LangChain Retrieval Webinar |
VrL7AbrY438 |
| Jun. 2023 |
LangChain "in Education" Webinar |
lBVo3SkcLGM |
| Jun. 2023 |
LangChain "Quivr Deepdive" Webinar |
1hZ7svDRA0o |
| Jun. 2023 |
LangChain "OpenSource LLMs" Webinar |
9pmCM-JMJrE |
| Jun. 2023 |
LangChain "OpenAI functions" Webinar |
LxI0iofzKWA |
| Jun. 2023 |
LangChain "Chains vs Agents" Webinar |
bYLHklxEd_k |
| Jul. 2023 |
LangChain "Characters" Webinar |
T0OU74b2Y5o |
| Jul. 2023 |
LangSmith Launch |
odxlHNLWAk4 |
| Jul. 2023 |
LangChain x Pinecone: Supercharging Llama-2 with RAG |
8Y0o2aBzfWg |
| Aug. 2023 |
LangChain Expression Language |
9M8x485j_lU |
| Aug. 2023 |
LangChain "Advanced Retrieval" Webinar |
DY3sT4yIezs |
| Aug. 2023 |
Building LLM applications with LangChain with Lance |
HmZzbhL8Tf8 |
| Aug. 2023 |
Benchmarking Question/Answering Over CSV Data |
jGnf4OhptbA |
| Aug. 2023 |
LangChain "Production Ingestion" Webinar |
-y8p7eAlg3o |
| Aug. 2023 |
LangChain "RAG Evaluation" Webinar |
fWC4VxolWAk |
| Aug. 2023 |
Fine-tuning in Your Voice Webinar |
MJm49TAyz5w |
| Sep. 2023 |
Tabular Data Retrieval |
ESQkoA8Wx1U |
| Sep. 2023 |
Building an LLM Application with Audio by AssemblyAI |
XIx7PHK_sa4 |
| Sep. 2023 |
Superagent Deepdive Webinar |
Yqr6dy1reoA |
| Sep. 2023 |
Lessons from Deploying LLMs with LangSmith |
ll-Xit_Khq0 |
| Sep. 2023 |
Shortwave Assistant Deepdive Webinar |
SvZeevyzqg4 |
| Oct. 2023 |
Cognitive Architectures for Language Agents |
Qj7jPTQa2f4 |
| Oct. 2023 |
Data Privacy for LLMs |
XmgXbqT7610 |
| Oct. 2023 |
Effectively Building with LLMs in the Browser with Jacob |
-1sdWLr3TbI |
| Oct. 2023 |
"Theory of Mind" Webinar with Plastic Labs |
PbuzqCdY0hg |
| Oct. 2023 |
LangChain Templates |
aA6KZ4L_ono |
| Nov. 2023 |
LangServe and LangChain Templates Webinar |
o7C9ld6Ln-M |
| Nov. 2023 |
Using Natural Language to Query Postgres with Jacob |
XNeTgVEzILg |
| Nov. 2023 |
Building a Research Assistant from Scratch |
DjuXACWYkkU |
| Nov. 2023 |
Benchmarking RAG over LangChain Docs |
ObIltMaRJvY |
| Nov. 2023 |
Skeleton-of-Thought: Building a New Template from Scratch |
wLRHwKuKvOE |
| Dec. 2023 |
Benchmarking Methods for Semi-Structured RAG |
KMZZh7Z5mno |
| Dec. 2023 |
LangSmith Highlights: Hub |
ct4bwS-b9vM |
| Dec. 2023 |
LangSmith Highlights: Datasets |
KmXfBYwKn-A |
| Dec. 2023 |
LangSmith Highlights: Getting Started |
bOaDQUCgKjw |
| Dec. 2023 |
LangSmith Highlights: Evaluation |
BqrN1JDSM0s |
| Dec. 2023 |
LangSmith Highlights: Debugging |
7NzKdY-r8Rs |
| Dec. 2023 |
LangSmith Highlights: Human Annotation |
jP24Z5Raje4 |
| Dec. 2023 |
LangSmith Highlights: Monitoring |
WsbrNtqi7Bk |
| Dec. 2023 |
SQL Research Assistant |
es-9MgxB-uc |
| Dec. 2023 |
Getting Started with Multi-Modal LLMs |
28lC4fqukoc |
| Jan. 2024 |
Build a Full Stack RAG App With TypeScript |
rQdibOsL1ps |
| Jan. 2024 |
Auto-Prompt Builder (with Hosted LangServe) |
mmBo8nlu2j0 |
| Jan. 2024 |
LangChain v0.1.0 Launch: Streaming |
gr5CGL4_jpY |
| Jan. 2024 |
LangChain v0.1.0 Launch: Introduction |
Fk_zZr2DbQY |
| Jan. 2024 |
LangChain v0.1.0 Launch: Agents |
08qXj9w-CG4 |
| Jan. 2024 |
LangChain v0.1.0 Launch: Integrations |
b-jEUMt0ji0 |
| Jan. 2024 |
LangChain v0.1.0 Launch: Composability |
ipwWmXa904w |
| Jan. 2024 |
LangChain v0.1.0 Launch: Observability |
dlJQ-YiXgCs |
| Jan. 2024 |
LangChain v0.1.0 Launch: Retrieval |
yK64dws8f6A |
| Jan. 2024 |
LangChain v0.1.0 Launch: Output Parsing |
dbjmhCWPKow |
| Jan. 2024 |
Hosted LangServe + LangChain Templates |
OV2ZIWFBe0s |
| Jan. 2024 |
Build and Deploy a RAG app with Pinecone Serverless |
EhlPDL4QrWY |
| Jan. 2024 |
LangGraph: Chat Agent Executor |
Un-88uJKdiU |
| Jan. 2024 |
LangGraph: Human-in-the-Loop |
9H4gwJGgvfg |
| Jan. 2024 |
LangGraph: Intro |
5h-JBkySK34 |
| Jan. 2024 |
LangGraph: Agent Executor |
9dXp5q3OFdQ |
| Jan. 2024 |
LangGraph: Force-Calling a Tool |
o5Hw9V5ntxw |
| Jan. 2024 |
LangGraph: Managing Agent Steps |
xJ6ipunO16E |
| Jan. 2024 |
LangGraph: Dynamically Returning a Tool Output Directly |
rabXcLaAlqE |
| Jan. 2024 |
LangGraph: Respond in a Specific Format |
P1aDaYkZzNg |
| Jan. 2024 |
LangGraph: Multi-Agent Workflows |
hvAPnpSfSGo |
| Jan. 2024 |
Streaming Events: Introducing a new `stream_events` method |
ZcEMLz27sL4 |
| Jan. 2024 |
Building a web RAG chatbot: using LangChain, Exa (prev. Metaphor), LangSmith, and Hosted Langserve |
dA1cHGACXCo |
| Jan. 2024 |
OpenGPTs |
HAn9vnJy6S4 |
| Feb. 2024 |
Open Source RAG with Nomic's New Embedding Model (and ChromaDB and Ollama) |
2nLDe_igVnE |
| Feb. 2024 |
LangGraph: Persistence |
YE6A5d8kNp4 |
| Feb. 2024 |
WebVoyager |
ylrew7qb8sQ |
| Feb. 2024 |
RAG From Scratch: Part 1 (Overview) |
wd7TZ4w1mSw |
| Feb. 2024 |
RAG From Scratch: Part 3 (Retrieval) |
LxNVgdIz9sU |
| Feb. 2024 |
RAG From Scratch: Part 2 (Indexing) |
bjb_EMsTDKI |
| Feb. 2024 |
RAG From Scratch: Part 4 (Generation) |
Vw52xyyFsB8 |
| Feb. 2024 |
Self-reflective RAG with LangGraph: Self-RAG and CRAG |
pbAd8O1Lvm4 |
| Feb. 2024 |
Gemini + Google Retrieval Agent from a LangChain Template |
rZus0JtRqXE |
| Feb. 2024 |
LangGraph: Planning Agents |
uRya4zRrRx4 |
| Feb. 2024 |
RAG from scratch: Part 5 (Query Translation -- Multi Query) |
JChPi0CRnDY |
| Feb. 2024 |
RAG from scratch: Part 9 (Query Translation -- HyDE) |
SaDzIVkYqyY |
| Feb. 2024 |
RAG from scratch: Part 8 (Query Translation -- Step Back) |
xn1jEjRyJ2U |
| Feb. 2024 |
RAG from scratch: Part 6 (Query Translation -- RAG Fusion) |
77qELPbNgxA |
| Feb. 2024 |
LangChain Agents with Open Source Models! |
Ce03oEotdPs |
| Feb. 2024 |
LangSmith: In-Depth Platform Overview |
3wAON0Lqviw |
| Feb. 2024 |
LangSmith in 10 Minutes |
jx7xuHlfsEQ |
| Feb. 2024 |
Building Corrective RAG from scratch with open-source, local LLMs |
E2shqsYwxck |
| Feb. 2024 |
RAG from scratch: Part 7 (Query Translation -- Decomposition) |
h0OPWlEOank |
| Feb. 2024 |
Reflection Agents |
v5ymBTXNqtk |
| Feb. 2024 |
Building a self-corrective coding assistant from scratch |
MvNdgmM7uyc |
| Feb. 2024 |
Universal Document Loader with langchain-airbyte |
zQU_1sCLSMU |
| Mar. 2024 |
Building long context RAG with RAPTOR from scratch |
jbGchdTL7d0 |
| Mar. 2024 |
LangServe Chat Playground Launch |
bGUO26Bc-Sc |
| Mar. 2024 |
Is RAG Really Dead? Testing Multi Fact Retrieval & Reasoning in GPT4-128k |
UlmyyYQGhzc |
| Mar. 2024 |
Building STORM from scratch with LangGraph |
1uUORSZwTz4 |
| Mar. 2024 |
Building Google's Dramatron with LangGraph JS & Anthropic's Claude 3 |
alHnQjyn7hg |
| Mar. 2024 |
RAG from scratch: Part 10 (Routing) |
pfpIndq7Fi8 |
| Mar. 2024 |
Claude-ception: Teaching Claude3 to prompt engineer itself |
Vn8A3BxfplE |
| Mar. 2024 |
Cutting LLM Costs with MongoDB Semantic Caching |
kAgSPzlgnDM |
| Mar. 2024 |
Self Learning GPTs: Using Feedback to Improve Your Application |
OnQQeWEwzyw |
| Mar. 2024 |
Deploying code agents without all the agonizing pain |
X3yzWtAkaeo |
| Mar. 2024 |
RAG for long context LLMs |
SsHUNfhF32s |
| Mar. 2024 |
Open Source Extraction Service |
-FMUt3OARy0 |
| Mar. 2024 |
RAG from scratch: Part 11 (Query Structuring) |
kl6NwWYxvbM |
| Mar. 2024 |
RAG from scratch: Part 12 (Multi-Representation Indexing) |
gTCU9I6QqCE |
| Mar. 2024 |
LangFriend: a Journal with Long-Term Memory |
tSicjawrfUY |
| Mar. 2024 |
Building ToolLLM With LangGraph.js |
xbZzJjBm6t4 |
| Mar. 2024 |
RAG From Scratch: Part 13 (RAPTOR) |
z_6EeA2LDSw |
| Mar. 2024 |
RAG From Scratch: Part 14 (ColBERT) |
cN6S0Ehm7_8 |
| Apr. 2024 |
Small OSS Models with LangGraph.js |
sIFcBVj2qJE |
| Apr. 2024 |
Annotation Queues: Efficiently manage data review with feedback tools |
3Ws5wOS9eko |
| Apr. 2024 |
Online Evaluation: Simplifying assessment of LLM responses |
4NbV44E-hCU |
| Apr. 2024 |
Threads: Unified chat views for conversation debugging |
n8WHuupE_i0 |
| Apr. 2024 |
Monitoring: Aggregate LLM stats and metadata grouping in LangSmith's interactive dashboard |
OXAkjTqLV4c |
| Apr. 2024 |
Common Use Cases: Practical applications of LangSmith automation features |
WODgxh_wGTY |
| Apr. 2024 |
Automations: Streamlined data workflow for Datasets, Annotations, and Online Evaluations |
ak2AIiX0P_A |
| Apr. 2024 |
Optimization Use Case: Build a style-adaptive app with LangSmith automations |
827QeizQbgU |
| Apr. 2024 |
Introduction: Monitoring and Automations Essentials with LangSmith |
4rupAXVraEA |
| Apr. 2024 |
Filtering: Advanced run analysis with new filters and AI Query in LangSmith |
fzNSFuqtF_M |
| Apr. 2024 |
Anthropic function calling for structured LLM outputs |
cVEJaWgiudU |
| Apr. 2024 |
Building adaptive RAG from scratch with Command-R |
04ighIjMcAI |
| Apr. 2024 |
Optimization of LLM Systems with DSPy and LangChain/LangSmith |
4EXOmWeqXRc |
| Apr. 2024 |
Eval Comparisons | LangSmith Evaluations - Part 7 |
kl5U_efgK_8 |
| Apr. 2024 |
Custom Evaluators | LangSmith Evaluations - Part 6 |
w31v_kFvcNw |
| Apr. 2024 |
Datasets From Traces | LangSmith Evaluations - Part 4 |
hPqhQJPIVI8 |
| Apr. 2024 |
Pre-Built Evaluators | LangSmith Evaluations - Part 5 |
y5GvqOi4bJQ |
| Apr. 2024 |
Manually Curated Datasets | LangSmith Evaluations - Part 3 |
N9hjO-Uy1Vo |
| Apr. 2024 |
Evaluation Primitives | LangSmith Evaluations - Part 2 |
OuFUy45RsHU |
| Apr. 2024 |
Why Evals Matter | LangSmith Evaluations - Part 1 |
vygFgCNR7WA |
| Apr. 2024 |
Video + Audio Extraction with Gemini |
7NL9_JoNNLo |
| Apr. 2024 |
Tool Calling with LangChain |
zCwuAlpQKTM |
| Apr. 2024 |
Evaluations in the prompt playground | LangSmith Evaluations - Part 8 |
IJxI-4YdySE |
| Apr. 2024 |
Attach evaluators to datasets | LangSmith Evaluations - Part 9 |
Kr10khtlSzs |
| Apr. 2024 |
Unit Tests | LangSmith Evaluations - Part 10 |
ZA6ygagspjA |
| Apr. 2024 |
Summary Evaluators | LangSmith Evaluations - Part 11 |
zMgrHzs_cAg |
| Apr. 2024 |
Flow Engineering with LangChain/LangGraph and CodiumAI |
eBjxz7qrNBs |
| Apr. 2024 |
Reliable, fully local RAG agents with LLaMA3 |
-ROS6gfYIts |
| Apr. 2024 |
RAG Evaluation (Answer Correctness) | LangSmith Evaluations - Part 12 |
lTfhw_9cJqc |
| Apr. 2024 |
RAG Evaluation (Answer Hallucinations) | LangSmith Evaluations - Part 13 |
IlNglM9bKLw |
| Apr. 2024 |
Build Computing Olympiad Agents with LangGraph |
UqYzzjTmKj8 |
| Apr. 2024 |
RAG Evaluation (Document Relevance) | LangSmith Evaluations - Part 14 |
Fr_7HtHjcf0 |
| May. 2024 |
Regression Testing | LangSmith Evaluations - Part 15 |
xTMngs6JWNM |
| May. 2024 |
How to Use LangSmith to Achieve a 30% Accuracy Improvement with No Prompt Engineering |
tHZtq_pJSGo |
| May. 2024 |
Build a Customer Support Bot | LangGraph |
b3XsvoFWp4c |
| May. 2024 |
RAG (evaluate intermediate steps) | LangSmith Evaluations - Part 16 |
yx3JMAaNggQ |